fix(web): remove unused import blocking release pipeline (#4234)

fix(web): remove unused import blocking release pipeline

.claude/plans/shimmying-baking-riddle.md

@@ -1,97 +0,0 @@
-# Mem0 Integration: Dual-Scope Recall + Per-Turn Memory
-
-## Context
-
-Mem0 auto-save works but the integration is missing key features from mem0 best practices: per-turn recall, multi-level scoping, and proper context injection. This causes the bot to "forget" on follow-up turns and not differentiate users.
-
-## What's Missing (vs mem0 docs)
-
-1. **Per-turn recall** — only first turn gets memory context, follow-ups get nothing
-2. **Dual-scope** — no sender vs group distinction. All memories use single hardcoded `user_id`
-3. **System prompt injection** — memory prepended to user message (pollutes session history)
-4. **`agent_id` scoping** — mem0 supports agent-level patterns, not used
-
-## Changes
-
-### 1. `src/memory/mem0.rs` — Use session_id for multi-level scoping
-
-Map zeroclaw's `session_id` param to mem0's `user_id`. This enables per-user and per-group memory namespaces without changing the `Memory` trait.
-
-```rust
-// Add helper:
-fn effective_user_id(&self, session_id: Option<&str>) -> &str {
-    session_id.filter(|s| !s.is_empty()).unwrap_or(&self.user_id)
-}
-
-// In store(): use effective_user_id(session_id) as mem0 user_id
-// In recall(): use effective_user_id(session_id) as mem0 user_id
-// In list(): use effective_user_id(session_id) as mem0 user_id
-```
-
-### 2. `src/channels/mod.rs` ~line 2229 — Per-turn dual-scope recall
-
-Remove `if !had_prior_history` gate. Always recall from both sender scope and group scope (for group chats).
-
-```rust
-// Detect group chat
-let is_group = msg.reply_target.contains("@g.us")
-    || msg.reply_target.starts_with("group:");
-
-// Sender-scope recall (always)
-let sender_context = build_memory_context(
-    ctx.memory.as_ref(), &msg.content, ctx.min_relevance_score,
-    Some(&msg.sender),
-).await;
-
-// Group-scope recall (groups only)
-let group_context = if is_group {
-    build_memory_context(
-        ctx.memory.as_ref(), &msg.content, ctx.min_relevance_score,
-        Some(&history_key),
-    ).await
-} else {
-    String::new()
-};
-
-// Merge (deduplicate by checking substring overlap)
-let memory_context = merge_memory_contexts(&sender_context, &group_context);
-```
-
-### 3. `src/channels/mod.rs` ~line 2244 — Inject into system prompt
-
-Move memory context from user message to system prompt. Re-fetched each turn, doesn't pollute session.
-
-```rust
-let mut system_prompt = build_channel_system_prompt(...);
-if !memory_context.is_empty() {
-    system_prompt.push_str(&format!("\n\n{memory_context}"));
-}
-let mut history = vec![ChatMessage::system(system_prompt)];
-```
-
-### 4. `src/channels/mod.rs` — Dual-scope auto-save
-
-Find existing auto-save call. For group messages, store twice:
-- `store(key, content, category, Some(&msg.sender))` — personal facts
-- `store(key, content, category, Some(&history_key))` — group context
-
-Both async, non-blocking. DMs only store to sender scope.
-
-### 5. `src/memory/mem0.rs` — Add `agent_id` support (optional)
-
-Pass `self.app_name` as `agent_id` param to mem0 API for agent behavior tracking.
-
-## Files to Modify
-
-1. `src/memory/mem0.rs` — session_id → user_id mapping
-2. `src/channels/mod.rs` — per-turn recall, dual-scope, system prompt injection, dual-scope save
-
-## Verification
-
-1. `cargo check --features whatsapp-web,memory-mem0`
-2. `cargo test --features whatsapp-web,memory-mem0`
-3. Deploy to Synology
-4. Test DM: "我鍾意食壽司" → next turn "我鍾意食咩" → should recall
-5. Test group: Joe says "我鍾意食壽司" → someone else asks "Joe 鍾意食咩" → should recall from group scope
-6. Check mem0 server logs: GET with `user_id=sender` AND `user_id=group_key`
-7. Check mem0 server logs: POST with both user_ids for group messages

Cargo.lock

@@ -9530,7 +9530,7 @@ dependencies = [
 
 [[package]]
 name = "zeroclawlabs"
-version = "0.5.6"
+version = "0.5.7"
 dependencies = [
  "aardvark-sys",
  "anyhow",

Cargo.toml

@@ -4,7 +4,7 @@ resolver = "2"
 
 [package]
 name = "zeroclawlabs"
-version = "0.5.6"
+version = "0.5.7"
 edition = "2021"
 authors = ["theonlyhennygod"]
 license = "MIT OR Apache-2.0"
@@ -231,8 +231,6 @@ channel-matrix = ["dep:matrix-sdk"]
 channel-lark = ["dep:prost"]
 channel-feishu = ["channel-lark"]  # Alias for Feishu users (Lark and Feishu are the same platform)
 memory-postgres = ["dep:postgres"]
-# memory-mem0 = Mem0 (OpenMemory) memory backend via REST API
-memory-mem0 = []
 observability-prometheus = ["dep:prometheus"]
 observability-otel = ["dep:opentelemetry", "dep:opentelemetry_sdk", "dep:opentelemetry-otlp"]
 peripheral-rpi = ["rppal"]
@@ -267,7 +265,6 @@ ci-all = [
     "channel-matrix",
     "channel-lark",
     "memory-postgres",
-    "memory-mem0",
     "observability-prometheus",
     "observability-otel",
     "peripheral-rpi",

deploy/mem0/mem0-gpu-start.sh

@@ -1,80 +0,0 @@
-#!/bin/bash
-# Start mem0 + reranker GPU container for ZeroClaw memory backend.
-#
-# Required env vars:
-#   MEM0_LLM_API_KEY or ZAI_API_KEY  — API key for the LLM used in fact extraction
-#
-# Optional env vars (with defaults):
-#   MEM0_LLM_PROVIDER    — mem0 LLM provider (default: "openai" i.e. OpenAI-compatible)
-#   MEM0_LLM_MODEL       — LLM model for fact extraction (default: "glm-5-turbo")
-#   MEM0_LLM_BASE_URL    — LLM API base URL (default: "https://api.z.ai/api/coding/paas/v4")
-#   MEM0_EMBEDDER_MODEL  — embedding model (default: "BAAI/bge-m3")
-#   MEM0_EMBEDDER_DIMS   — embedding dimensions (default: "1024")
-#   MEM0_EMBEDDER_DEVICE — "cuda", "cpu", or "auto" (default: "cuda")
-#   MEM0_VECTOR_COLLECTION — Qdrant collection name (default: "zeroclaw_mem0")
-#   RERANKER_MODEL       — reranker model (default: "BAAI/bge-reranker-v2-m3")
-#   RERANKER_DEVICE      — "cuda" or "cpu" (default: "cuda")
-#   MEM0_PORT            — mem0 server port (default: 8765)
-#   RERANKER_PORT        — reranker server port (default: 8678)
-#   CONTAINER_IMAGE      — base container image (default: docker.io/kyuz0/amd-strix-halo-comfyui:latest)
-#   CONTAINER_NAME       — container name (default: mem0-gpu)
-#   DATA_DIR             — host path for Qdrant data (default: ~/mem0-data)
-#   SCRIPT_DIR           — host path for server scripts (default: directory of this script)
-set -e
-
-# Resolve script directory for mounting server scripts
-SCRIPT_DIR="${SCRIPT_DIR:-$(cd "$(dirname "$0")" && pwd)}"
-
-# API key — accept either name
-export MEM0_LLM_API_KEY="${MEM0_LLM_API_KEY:-${ZAI_API_KEY:?MEM0_LLM_API_KEY or ZAI_API_KEY must be set}}"
-
-# Defaults
-MEM0_LLM_MODEL="${MEM0_LLM_MODEL:-glm-5-turbo}"
-MEM0_LLM_BASE_URL="${MEM0_LLM_BASE_URL:-https://api.z.ai/api/coding/paas/v4}"
-MEM0_PORT="${MEM0_PORT:-8765}"
-RERANKER_PORT="${RERANKER_PORT:-8678}"
-CONTAINER_IMAGE="${CONTAINER_IMAGE:-docker.io/kyuz0/amd-strix-halo-comfyui:latest}"
-CONTAINER_NAME="${CONTAINER_NAME:-mem0-gpu}"
-DATA_DIR="${DATA_DIR:-$HOME/mem0-data}"
-
-# Stop existing CPU services (if any)
-kill -9 $(pgrep -f "mem0-server.py") 2>/dev/null || true
-kill -9 $(pgrep -f "reranker-server.py") 2>/dev/null || true
-
-# Stop existing container
-podman stop "$CONTAINER_NAME" 2>/dev/null || true
-podman rm "$CONTAINER_NAME" 2>/dev/null || true
-
-podman run -d --name "$CONTAINER_NAME" \
-  --device /dev/dri --device /dev/kfd \
-  --group-add video --group-add render \
-  --restart unless-stopped \
-  -p "$MEM0_PORT:$MEM0_PORT" -p "$RERANKER_PORT:$RERANKER_PORT" \
-  -v "$DATA_DIR":/root/mem0-data:Z \
-  -v "$SCRIPT_DIR/mem0-server.py":/app/mem0-server.py:ro,Z \
-  -v "$SCRIPT_DIR/reranker-server.py":/app/reranker-server.py:ro,Z \
-  -v "$HOME/.cache/huggingface":/root/.cache/huggingface:Z \
-  -e MEM0_LLM_API_KEY="$MEM0_LLM_API_KEY" \
-  -e ZAI_API_KEY="$MEM0_LLM_API_KEY" \
-  -e MEM0_LLM_MODEL="$MEM0_LLM_MODEL" \
-  -e MEM0_LLM_BASE_URL="$MEM0_LLM_BASE_URL" \
-  ${MEM0_LLM_PROVIDER:+-e MEM0_LLM_PROVIDER="$MEM0_LLM_PROVIDER"} \
-  ${MEM0_EMBEDDER_MODEL:+-e MEM0_EMBEDDER_MODEL="$MEM0_EMBEDDER_MODEL"} \
-  ${MEM0_EMBEDDER_DIMS:+-e MEM0_EMBEDDER_DIMS="$MEM0_EMBEDDER_DIMS"} \
-  ${MEM0_EMBEDDER_DEVICE:+-e MEM0_EMBEDDER_DEVICE="$MEM0_EMBEDDER_DEVICE"} \
-  ${MEM0_VECTOR_COLLECTION:+-e MEM0_VECTOR_COLLECTION="$MEM0_VECTOR_COLLECTION"} \
-  ${RERANKER_MODEL:+-e RERANKER_MODEL="$RERANKER_MODEL"} \
-  ${RERANKER_DEVICE:+-e RERANKER_DEVICE="$RERANKER_DEVICE"} \
-  -e RERANKER_PORT="$RERANKER_PORT" \
-  -e RERANKER_URL="http://127.0.0.1:$RERANKER_PORT/rerank" \
-  -e TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1 \
-  -e HOME=/root \
-  "$CONTAINER_IMAGE" \
-  bash -c "pip install -q FlagEmbedding mem0ai flask httpx qdrant-client 2>&1 | tail -3; echo '=== Starting reranker (GPU) on :$RERANKER_PORT ==='; python3 /app/reranker-server.py & sleep 3; echo '=== Starting mem0 (GPU) on :$MEM0_PORT ==='; exec python3 /app/mem0-server.py"
-
-echo "Container started, waiting for init..."
-sleep 15
-echo "=== Container logs ==="
-podman logs "$CONTAINER_NAME" 2>&1 | tail -25
-echo "=== Port check ==="
-ss -tlnp | grep "$MEM0_PORT\|$RERANKER_PORT" || echo "Ports not yet ready, check: podman logs $CONTAINER_NAME"

deploy/mem0/mem0-server.py

@@ -1,288 +0,0 @@
-"""Minimal OpenMemory-compatible REST server wrapping mem0 Python SDK."""
-import asyncio
-import json, os, uuid, httpx
-from datetime import datetime, timezone
-from fastapi import FastAPI, Query
-from pydantic import BaseModel
-from typing import Optional
-from mem0 import Memory
-
-app = FastAPI()
-
-RERANKER_URL = os.environ.get("RERANKER_URL", "http://127.0.0.1:8678/rerank")
-
-CUSTOM_EXTRACTION_PROMPT = """You are a memory extraction specialist for a Cantonese/Chinese chat assistant.
-
-Extract ONLY important, persistent facts from the conversation. Rules:
-1. Extract personal preferences, habits, relationships, names, locations
-2. Extract decisions, plans, and commitments people make
-3. SKIP small talk, greetings, reactions ("ok", "哈哈", "係呀")
-4. SKIP temporary states ("我依家食緊飯") unless they reveal a habit
-5. Keep facts in the ORIGINAL language (Cantonese/Chinese/English)
-6. For each fact, note WHO it's about (use their name or identifier if known)
-7. Merge/update existing facts rather than creating duplicates
-
-Return a list of facts in JSON format: {"facts": ["fact1", "fact2", ...]}
-"""
-
-PROCEDURAL_EXTRACTION_PROMPT = """You are a procedural memory specialist for an AI assistant.
-
-Extract HOW-TO patterns and reusable procedures from the conversation trace. Rules:
-1. Identify step-by-step procedures the assistant followed to accomplish a task
-2. Extract tool usage patterns: which tools were called, in what order, with what arguments
-3. Capture decision points: why the assistant chose one approach over another
-4. Note error-recovery patterns: what failed, how it was fixed
-5. Keep the procedure generic enough to apply to similar future tasks
-6. Preserve technical details (commands, file paths, API calls) that are reusable
-7. SKIP greetings, small talk, and conversational filler
-8. Format each procedure as: "To [goal]: [step1] -> [step2] -> ... -> [result]"
-
-Return a list of procedures in JSON format: {"facts": ["procedure1", "procedure2", ...]}
-"""
-
-# ── Configurable via environment variables ─────────────────────────
-# LLM (for fact extraction when infer=true)
-MEM0_LLM_PROVIDER = os.environ.get("MEM0_LLM_PROVIDER", "openai")      # "openai" (compatible), "anthropic", etc.
-MEM0_LLM_MODEL = os.environ.get("MEM0_LLM_MODEL", "glm-5-turbo")
-MEM0_LLM_API_KEY = os.environ.get("MEM0_LLM_API_KEY") or os.environ.get("ZAI_API_KEY", "")
-MEM0_LLM_BASE_URL = os.environ.get("MEM0_LLM_BASE_URL", "https://api.z.ai/api/coding/paas/v4")
-
-# Embedder
-MEM0_EMBEDDER_PROVIDER = os.environ.get("MEM0_EMBEDDER_PROVIDER", "huggingface")  # "huggingface", "openai", etc.
-MEM0_EMBEDDER_MODEL = os.environ.get("MEM0_EMBEDDER_MODEL", "BAAI/bge-m3")
-MEM0_EMBEDDER_DIMS = int(os.environ.get("MEM0_EMBEDDER_DIMS", "1024"))
-MEM0_EMBEDDER_DEVICE = os.environ.get("MEM0_EMBEDDER_DEVICE", "cuda")   # "cuda", "cpu", "auto"
-
-# Vector store
-MEM0_VECTOR_PROVIDER = os.environ.get("MEM0_VECTOR_PROVIDER", "qdrant")  # "qdrant", "chroma", etc.
-MEM0_VECTOR_COLLECTION = os.environ.get("MEM0_VECTOR_COLLECTION", "zeroclaw_mem0")
-MEM0_VECTOR_PATH = os.environ.get("MEM0_VECTOR_PATH", os.path.expanduser("~/mem0-data/qdrant"))
-
-config = {
-    "llm": {
-        "provider": MEM0_LLM_PROVIDER,
-        "config": {
-            "model": MEM0_LLM_MODEL,
-            "api_key": MEM0_LLM_API_KEY,
-            "openai_base_url": MEM0_LLM_BASE_URL,
-        },
-    },
-    "embedder": {
-        "provider": MEM0_EMBEDDER_PROVIDER,
-        "config": {
-            "model": MEM0_EMBEDDER_MODEL,
-            "embedding_dims": MEM0_EMBEDDER_DIMS,
-            "model_kwargs": {"device": MEM0_EMBEDDER_DEVICE},
-        },
-    },
-    "vector_store": {
-        "provider": MEM0_VECTOR_PROVIDER,
-        "config": {
-            "collection_name": MEM0_VECTOR_COLLECTION,
-            "embedding_model_dims": MEM0_EMBEDDER_DIMS,
-            "path": MEM0_VECTOR_PATH,
-        },
-    },
-    "custom_fact_extraction_prompt": CUSTOM_EXTRACTION_PROMPT,
-}
-
-m = Memory.from_config(config)
-
-
-def rerank_results(query: str, items: list, top_k: int = 10) -> list:
-    """Rerank search results using bge-reranker-v2-m3."""
-    if not items:
-        return items
-    documents = [item.get("memory", "") for item in items]
-    try:
-        resp = httpx.post(
-            RERANKER_URL,
-            json={"query": query, "documents": documents, "top_k": top_k},
-            timeout=10.0,
-        )
-        resp.raise_for_status()
-        ranked = resp.json().get("results", [])
-        return [items[r["index"]] for r in ranked]
-    except Exception as e:
-        print(f"Reranker failed, using original order: {e}")
-        return items
-
-
-class AddMemoryRequest(BaseModel):
-    user_id: str
-    text: str
-    metadata: Optional[dict] = None
-    infer: bool = True
-    app: Optional[str] = None
-    custom_instructions: Optional[str] = None
-
-
-@app.post("/api/v1/memories/")
-async def add_memory(req: AddMemoryRequest):
-    # Use client-supplied prompt, fall back to server default, then mem0 SDK default
-    prompt = req.custom_instructions or CUSTOM_EXTRACTION_PROMPT
-    result = await asyncio.to_thread(m.add, req.text, user_id=req.user_id, metadata=req.metadata or {}, prompt=prompt)
-    return {"id": str(uuid.uuid4()), "status": "ok", "result": result}
-
-
-class ProceduralMemoryRequest(BaseModel):
-    user_id: str
-    messages: list[dict]
-    metadata: Optional[dict] = None
-
-
-@app.post("/api/v1/memories/procedural")
-async def add_procedural_memory(req: ProceduralMemoryRequest):
-    """Store a conversation trace as procedural memory.
-
-    Accepts a list of messages (role/content dicts) representing a full
-    conversation turn including tool calls, then uses mem0's native
-    procedural memory extraction to learn reusable "how to" patterns.
-    """
-    # Build metadata with procedural type marker
-    meta = {"type": "procedural"}
-    if req.metadata:
-        meta.update(req.metadata)
-
-    # Use mem0's native message list support + procedural prompt
-    result = await asyncio.to_thread(m.add,
-        req.messages,
-        user_id=req.user_id,
-        metadata=meta,
-        prompt=PROCEDURAL_EXTRACTION_PROMPT,
-    )
-
-    return {"id": str(uuid.uuid4()), "status": "ok", "result": result}
-
-
-def _parse_mem0_results(raw_results) -> list:
-    raw = raw_results.get("results", raw_results) if isinstance(raw_results, dict) else raw_results
-    items = []
-    for r in raw:
-        item = r if isinstance(r, dict) else {"memory": str(r)}
-        items.append({
-            "id": item.get("id", str(uuid.uuid4())),
-            "memory": item.get("memory", item.get("text", "")),
-            "created_at": item.get("created_at", datetime.now(timezone.utc).isoformat()),
-            "metadata_": item.get("metadata", {}),
-        })
-    return items
-
-
-def _parse_iso_timestamp(value: str) -> Optional[datetime]:
-    """Parse an ISO 8601 timestamp string, returning None on failure."""
-    try:
-        dt = datetime.fromisoformat(value)
-        if dt.tzinfo is None:
-            dt = dt.replace(tzinfo=timezone.utc)
-        return dt
-    except (ValueError, TypeError):
-        return None
-
-
-def _item_created_at(item: dict) -> Optional[datetime]:
-    """Extract created_at from an item as a timezone-aware datetime."""
-    raw = item.get("created_at")
-    if raw is None:
-        return None
-    if isinstance(raw, datetime):
-        if raw.tzinfo is None:
-            raw = raw.replace(tzinfo=timezone.utc)
-        return raw
-    return _parse_iso_timestamp(str(raw))
-
-
-def _apply_post_filters(
-    items: list,
-    created_after: Optional[str],
-    created_before: Optional[str],
-) -> list:
-    """Filter items by created_after / created_before timestamps (post-query)."""
-    after_dt = _parse_iso_timestamp(created_after) if created_after else None
-    before_dt = _parse_iso_timestamp(created_before) if created_before else None
-    if after_dt is None and before_dt is None:
-        return items
-    filtered = []
-    for item in items:
-        ts = _item_created_at(item)
-        if ts is None:
-            # Keep items without a parseable timestamp
-            filtered.append(item)
-            continue
-        if after_dt and ts < after_dt:
-            continue
-        if before_dt and ts > before_dt:
-            continue
-        filtered.append(item)
-    return filtered
-
-
-@app.get("/api/v1/memories/")
-async def list_or_search_memories(
-    user_id: str = Query(...),
-    search_query: Optional[str] = Query(None),
-    size: int = Query(10),
-    rerank: bool = Query(True),
-    created_after: Optional[str] = Query(None),
-    created_before: Optional[str] = Query(None),
-    metadata_filter: Optional[str] = Query(None),
-):
-    # Build mem0 SDK filters dict from metadata_filter JSON param
-    sdk_filters = None
-    if metadata_filter:
-        try:
-            sdk_filters = json.loads(metadata_filter)
-        except json.JSONDecodeError:
-            sdk_filters = None
-
-    if search_query:
-        # Fetch more results than needed so reranker has candidates to work with
-        fetch_size = min(size * 3, 50)
-        results = await asyncio.to_thread(m.search,
-            search_query,
-            user_id=user_id,
-            limit=fetch_size,
-            filters=sdk_filters,
-        )
-        items = _parse_mem0_results(results)
-        items = _apply_post_filters(items, created_after, created_before)
-        if rerank and items:
-            items = rerank_results(search_query, items, top_k=size)
-        else:
-            items = items[:size]
-        return {"items": items, "total": len(items)}
-    else:
-        results = await asyncio.to_thread(m.get_all,user_id=user_id, filters=sdk_filters)
-        items = _parse_mem0_results(results)
-        items = _apply_post_filters(items, created_after, created_before)
-        return {"items": items, "total": len(items)}
-
-
-@app.delete("/api/v1/memories/{memory_id}")
-async def delete_memory(memory_id: str):
-    try:
-        await asyncio.to_thread(m.delete, memory_id)
-    except Exception:
-        pass
-    return {"status": "ok"}
-
-
-@app.get("/api/v1/memories/{memory_id}/history")
-async def get_memory_history(memory_id: str):
-    """Return the edit history of a specific memory."""
-    try:
-        history = await asyncio.to_thread(m.history, memory_id)
-        # Normalize to list of dicts
-        entries = []
-        raw = history if isinstance(history, list) else history.get("results", history) if isinstance(history, dict) else [history]
-        for h in raw:
-            entry = h if isinstance(h, dict) else {"event": str(h)}
-            entries.append(entry)
-        return {"memory_id": memory_id, "history": entries}
-    except Exception as e:
-        return {"memory_id": memory_id, "history": [], "error": str(e)}
-
-
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=8765)

deploy/mem0/reranker-server.py

@@ -1,50 +0,0 @@
-from flask import Flask, request, jsonify
-from FlagEmbedding import FlagReranker
-import os, torch
-
-app = Flask(__name__)
-reranker = None
-
-# ── Configurable via environment variables ─────────────────────────
-RERANKER_MODEL = os.environ.get("RERANKER_MODEL", "BAAI/bge-reranker-v2-m3")
-RERANKER_DEVICE = os.environ.get("RERANKER_DEVICE", "cuda" if torch.cuda.is_available() else "cpu")
-RERANKER_PORT = int(os.environ.get("RERANKER_PORT", "8678"))
-
-def get_reranker():
-    global reranker
-    if reranker is None:
-        reranker = FlagReranker(RERANKER_MODEL, use_fp16=True, device=RERANKER_DEVICE)
-    return reranker
-
-@app.route('/rerank', methods=['POST'])
-def rerank():
-    data = request.json
-    query = data.get('query', '')
-    documents = data.get('documents', [])
-    top_k = data.get('top_k', len(documents))
-
-    if not query or not documents:
-        return jsonify({'error': 'query and documents required'}), 400
-
-    pairs = [[query, doc] for doc in documents]
-    scores = get_reranker().compute_score(pairs)
-    if isinstance(scores, float):
-        scores = [scores]
-
-    results = sorted(
-        [{'index': i, 'document': doc, 'score': score}
-         for i, (doc, score) in enumerate(zip(documents, scores))],
-        key=lambda x: x['score'], reverse=True
-    )[:top_k]
-
-    return jsonify({'results': results})
-
-@app.route('/health', methods=['GET'])
-def health():
-    return jsonify({'status': 'ok', 'model': RERANKER_MODEL, 'device': RERANKER_DEVICE})
-
-if __name__ == '__main__':
-    print(f'Loading reranker model ({RERANKER_MODEL}) on {RERANKER_DEVICE}...')
-    get_reranker()
-    print(f'Reranker server ready on :{RERANKER_PORT}')
-    app.run(host='0.0.0.0', port=RERANKER_PORT)

dist/aur/.SRCINFO

@@ -1,6 +1,6 @@
 pkgbase = zeroclaw
 	pkgdesc = Zero overhead. Zero compromise. 100% Rust. The fastest, smallest AI assistant.
-	pkgver = 0.5.6
+	pkgver = 0.5.7
 	pkgrel = 1
 	url = https://github.com/zeroclaw-labs/zeroclaw
 	arch = x86_64
@@ -10,7 +10,7 @@ pkgbase = zeroclaw
 	makedepends = git
 	depends = gcc-libs
 	depends = openssl
-	source = zeroclaw-0.5.6.tar.gz::https://github.com/zeroclaw-labs/zeroclaw/archive/refs/tags/v0.5.6.tar.gz
+	source = zeroclaw-0.5.7.tar.gz::https://github.com/zeroclaw-labs/zeroclaw/archive/refs/tags/v0.5.7.tar.gz
 	sha256sums = SKIP
 
 pkgname = zeroclaw

dist/aur/PKGBUILD

@@ -1,6 +1,6 @@
 # Maintainer: zeroclaw-labs <bot@zeroclaw.dev>
 pkgname=zeroclaw
-pkgver=0.5.6
+pkgver=0.5.7
 pkgrel=1
 pkgdesc="Zero overhead. Zero compromise. 100% Rust. The fastest, smallest AI assistant."
 arch=('x86_64')

dist/scoop/zeroclaw.json

@@ -1,11 +1,11 @@
 {
-    "version": "0.5.6",
+    "version": "0.5.7",
     "description": "Zero overhead. Zero compromise. 100% Rust. The fastest, smallest AI assistant.",
     "homepage": "https://github.com/zeroclaw-labs/zeroclaw",
     "license": "MIT|Apache-2.0",
     "architecture": {
         "64bit": {
-            "url": "https://github.com/zeroclaw-labs/zeroclaw/releases/download/v0.5.6/zeroclaw-x86_64-pc-windows-msvc.zip",
+            "url": "https://github.com/zeroclaw-labs/zeroclaw/releases/download/v0.5.7/zeroclaw-x86_64-pc-windows-msvc.zip",
             "hash": "",
             "bin": "zeroclaw.exe"
         }

docs/i18n/zh-CN/reference/api/config-reference.zh-CN.md

@@ -411,30 +411,6 @@ allowed_roots = [\"~/Desktop/projects\", \"/opt/shared-repo\"]
 
 - 内存上下文注入忽略旧的 `assistant_resp*` 自动保存键，以防止旧模型生成的摘要被视为事实。
 
-### `[memory.mem0]`
-
-Mem0 (OpenMemory) 后端 — 连接自托管 mem0 服务器，提供基于向量的记忆存储和 LLM 事实提取。构建时需要 `memory-mem0` feature flag，配置需设置 `backend = "mem0"`。
-
-| 键 | 默认值 | 环境变量 | 用途 |
-|---|---|---|---|
-| `url` | `http://localhost:8765` | `MEM0_URL` | OpenMemory 服务器地址 |
-| `user_id` | `zeroclaw` | `MEM0_USER_ID` | 记忆作用域的用户 ID |
-| `app_name` | `zeroclaw` | `MEM0_APP_NAME` | 在 mem0 中注册的应用名称 |
-| `infer` | `true` | — | 使用 LLM 从存储文本中提取事实 (`true`) 或原样存储 (`false`) |
-| `extraction_prompt` | 未设置 | `MEM0_EXTRACTION_PROMPT` | 自定义 LLM 事实提取提示词（如适用于非英文内容） |
-
-```toml
-[memory]
-backend = "mem0"
-
-[memory.mem0]
-url = "http://192.168.0.171:8765"
-user_id = "zeroclaw-bot"
-extraction_prompt = "用原始语言提取事实..."
-```
-
-服务器部署脚本位于 `deploy/mem0/`。
-
 ## `[[model_routes]]` 和 `[[embedding_routes]]`
 
 使用路由提示，以便集成可以在模型 ID 演变时保持稳定的名称。

docs/reference/api/config-reference.md

@@ -508,30 +508,6 @@ Notes:
 
 - Memory context injection ignores legacy `assistant_resp*` auto-save keys to prevent old model-authored summaries from being treated as facts.
 
-### `[memory.mem0]`
-
-Mem0 (OpenMemory) backend — connects to a self-hosted mem0 server for vector-based memory with LLM-powered fact extraction. Requires feature flag `memory-mem0` at build time and `backend = "mem0"` in config.
-
-| Key | Default | Env var | Purpose |
-|---|---|---|---|
-| `url` | `http://localhost:8765` | `MEM0_URL` | OpenMemory server URL |
-| `user_id` | `zeroclaw` | `MEM0_USER_ID` | User ID for scoping memories |
-| `app_name` | `zeroclaw` | `MEM0_APP_NAME` | Application name registered in mem0 |
-| `infer` | `true` | — | Use LLM to extract facts from stored text (`true`) or store raw (`false`) |
-| `extraction_prompt` | unset | `MEM0_EXTRACTION_PROMPT` | Custom prompt for LLM fact extraction (e.g. for non-English content) |
-
-```toml
-[memory]
-backend = "mem0"
-
-[memory.mem0]
-url = "http://192.168.0.171:8765"
-user_id = "zeroclaw-bot"
-extraction_prompt = "Extract facts in the original language..."
-```
-
-Server deployment scripts are in `deploy/mem0/`.
-
 ## `[[model_routes]]` and `[[embedding_routes]]`
 
 Use route hints so integrations can keep stable names while model IDs evolve.

docs/vi/config-reference.md

@@ -337,30 +337,6 @@ Lưu ý:
 
 - Chèn ngữ cảnh memory bỏ qua khóa auto-save `assistant_resp*` kiểu cũ để tránh tóm tắt do model tạo bị coi là sự thật.
 
-### `[memory.mem0]`
-
-Backend Mem0 (OpenMemory) — kết nối đến server mem0 tự host, cung cấp bộ nhớ vector với trích xuất sự kiện bằng LLM. Cần feature flag `memory-mem0` khi build và `backend = "mem0"` trong config.
-
-| Khóa | Mặc định | Biến môi trường | Mục đích |
-|---|---|---|---|
-| `url` | `http://localhost:8765` | `MEM0_URL` | URL server OpenMemory |
-| `user_id` | `zeroclaw` | `MEM0_USER_ID` | User ID để phân vùng memory |
-| `app_name` | `zeroclaw` | `MEM0_APP_NAME` | Tên ứng dụng đăng ký trong mem0 |
-| `infer` | `true` | — | Dùng LLM trích xuất sự kiện từ text (`true`) hoặc lưu nguyên (`false`) |
-| `extraction_prompt` | chưa đặt | `MEM0_EXTRACTION_PROMPT` | Prompt tùy chỉnh cho trích xuất sự kiện LLM (vd: cho nội dung không phải tiếng Anh) |
-
-```toml
-[memory]
-backend = "mem0"
-
-[memory.mem0]
-url = "http://192.168.0.171:8765"
-user_id = "zeroclaw-bot"
-extraction_prompt = "Trích xuất sự kiện bằng ngôn ngữ gốc..."
-```
-
-Script triển khai server nằm trong `deploy/mem0/`.
-
 ## `[[model_routes]]` và `[[embedding_routes]]`
 
 Route hint giúp tên tích hợp ổn định khi model ID thay đổi.

install.sh

@@ -1448,6 +1448,25 @@ else
   step_dot "Skipping install"
 fi
 
+# --- Build web dashboard ---
+if [[ "$SKIP_BUILD" == false && -d "$WORK_DIR/web" ]]; then
+  if have_cmd node && have_cmd npm; then
+    step_dot "Building web dashboard"
+    if (cd "$WORK_DIR/web" && npm ci --ignore-scripts 2>/dev/null && npm run build 2>/dev/null); then
+      step_ok "Web dashboard built"
+    else
+      warn "Web dashboard build failed — dashboard will not be available"
+    fi
+  else
+    warn "node/npm not found — skipping web dashboard build"
+    warn "Install Node.js (>=18) and re-run, or build manually: cd web && npm ci && npm run build"
+  fi
+else
+  if [[ "$SKIP_BUILD" == true ]]; then
+    step_dot "Skipping web dashboard build"
+  fi
+fi
+
 ZEROCLAW_BIN=""
 if [[ -x "$HOME/.cargo/bin/zeroclaw" ]]; then
   ZEROCLAW_BIN="$HOME/.cargo/bin/zeroclaw"

src/agent/memory_loader.rs

@@ -118,6 +118,9 @@ mod tests {
                 timestamp: "now".into(),
                 session_id: None,
                 score: None,
+                namespace: "default".into(),
+                importance: None,
+                superseded_by: None,
             }])
         }
 
@@ -226,6 +229,9 @@ mod tests {
                     timestamp: "now".into(),
                     session_id: None,
                     score: Some(0.95),
+                    namespace: "default".into(),
+                    importance: None,
+                    superseded_by: None,
                 },
                 MemoryEntry {
                     id: "2".into(),
@@ -235,6 +241,9 @@ mod tests {
                     timestamp: "now".into(),
                     session_id: None,
                     score: Some(0.9),
+                    namespace: "default".into(),
+                    importance: None,
+                    superseded_by: None,
                 },
             ]),
         };

src/channels/mod.rs

@@ -6875,6 +6875,9 @@ BTC is currently around $65,000 based on latest tool output."#
                 timestamp: "2026-02-20T00:00:00Z".to_string(),
                 session_id: None,
                 score: Some(0.9),
+                namespace: "default".into(),
+                importance: None,
+                superseded_by: None,
             }])
         }
 

src/channels/voice_wake.rs

@@ -21,12 +21,6 @@ use super::traits::{Channel, ChannelMessage, SendMessage};
 
 // ── State machine ──────────────────────────────────────────────
 
-/// Maximum allowed capture duration (seconds) to prevent unbounded memory growth.
-const MAX_CAPTURE_SECS_LIMIT: u32 = 300;
-
-/// Minimum silence timeout to prevent API hammering.
-const MIN_SILENCE_TIMEOUT_MS: u32 = 100;
-
 /// Internal states for the wake-word detector.
 #[derive(Debug, Clone, Copy, PartialEq, Eq)]
 pub enum WakeState {
@@ -36,6 +30,8 @@ pub enum WakeState {
     Triggered,
     /// Wake word confirmed — capturing the full utterance that follows.
     Capturing,
+    /// Captured audio is being transcribed.
+    Processing,
 }
 
 impl std::fmt::Display for WakeState {
@@ -44,6 +40,7 @@ impl std::fmt::Display for WakeState {
             Self::Listening => write!(f, "Listening"),
             Self::Triggered => write!(f, "Triggered"),
             Self::Capturing => write!(f, "Capturing"),
+            Self::Processing => write!(f, "Processing"),
         }
     }
 }
@@ -81,97 +78,55 @@ impl Channel for VoiceWakeChannel {
         let config = self.config.clone();
         let transcription_config = self.transcription_config.clone();
 
-        // ── Validate config ───────────────────────────────────
-        let energy_threshold = config.energy_threshold;
-        if !energy_threshold.is_finite() || energy_threshold <= 0.0 {
-            bail!("VoiceWake: energy_threshold must be a positive finite number, got {energy_threshold}");
-        }
-        if config.silence_timeout_ms < MIN_SILENCE_TIMEOUT_MS {
-            bail!(
-                "VoiceWake: silence_timeout_ms must be >= {MIN_SILENCE_TIMEOUT_MS}, got {}",
-                config.silence_timeout_ms
-            );
-        }
-        let max_capture_secs = config.max_capture_secs.min(MAX_CAPTURE_SECS_LIMIT);
-        if max_capture_secs != config.max_capture_secs {
-            warn!(
-                "VoiceWake: max_capture_secs clamped from {} to {MAX_CAPTURE_SECS_LIMIT}",
-                config.max_capture_secs
-            );
-        }
-
         // Run the blocking audio capture loop on a dedicated thread.
-        let (audio_tx, mut audio_rx) = mpsc::channel::<Vec<f32>>(64);
+        let (audio_tx, mut audio_rx) = mpsc::channel::<Vec<f32>>(4);
 
+        let energy_threshold = config.energy_threshold;
         let silence_timeout = Duration::from_millis(u64::from(config.silence_timeout_ms));
-        let max_capture = Duration::from_secs(u64::from(max_capture_secs));
+        let max_capture = Duration::from_secs(u64::from(config.max_capture_secs));
         let sample_rate: u32;
         let channels_count: u16;
 
         // ── Initialise cpal stream ────────────────────────────
-        // cpal::Stream is !Send, so we build and hold it on a dedicated thread.
-        // When the listen function exits, the shutdown oneshot is dropped,
-        // the thread exits, and the stream + microphone are released.
-        let (shutdown_tx, shutdown_rx) = tokio::sync::oneshot::channel::<()>();
-        let (init_tx, init_rx) = tokio::sync::oneshot::channel::<Result<(u32, u16)>>();
         {
+            use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
+
+            let host = cpal::default_host();
+            let device = host
+                .default_input_device()
+                .ok_or_else(|| anyhow::anyhow!("No default audio input device available"))?;
+
+            let supported = device.default_input_config()?;
+            sample_rate = supported.sample_rate().0;
+            channels_count = supported.channels();
+
+            info!(
+                device = ?device.name().unwrap_or_default(),
+                sample_rate,
+                channels = channels_count,
+                "VoiceWake: opening audio input"
+            );
+
+            let stream_config: cpal::StreamConfig = supported.into();
             let audio_tx_clone = audio_tx.clone();
 
-            std::thread::spawn(move || {
-                use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
+            let stream = device.build_input_stream(
+                &stream_config,
+                move |data: &[f32], _: &cpal::InputCallbackInfo| {
+                    // Non-blocking: try_send and drop if full.
+                    let _ = audio_tx_clone.try_send(data.to_vec());
+                },
+                move |err| {
+                    warn!("VoiceWake: audio stream error: {err}");
+                },
+                None,
+            )?;
 
-                let result = (|| -> Result<(u32, u16, cpal::Stream)> {
-                    let host = cpal::default_host();
-                    let device = host.default_input_device().ok_or_else(|| {
-                        anyhow::anyhow!("No default audio input device available")
-                    })?;
+            stream.play()?;
 
-                    let supported = device.default_input_config()?;
-                    let sr = supported.sample_rate().0;
-                    let ch = supported.channels();
-
-                    info!(
-                        device = ?device.name().unwrap_or_default(),
-                        sample_rate = sr,
-                        channels = ch,
-                        "VoiceWake: opening audio input"
-                    );
-
-                    let stream_config: cpal::StreamConfig = supported.into();
-
-                    let stream = device.build_input_stream(
-                        &stream_config,
-                        move |data: &[f32], _: &cpal::InputCallbackInfo| {
-                            let _ = audio_tx_clone.try_send(data.to_vec());
-                        },
-                        move |err| {
-                            warn!("VoiceWake: audio stream error: {err}");
-                        },
-                        None,
-                    )?;
-
-                    stream.play()?;
-                    Ok((sr, ch, stream))
-                })();
-
-                match result {
-                    Ok((sr, ch, _stream)) => {
-                        let _ = init_tx.send(Ok((sr, ch)));
-                        // Hold the stream alive until shutdown is signalled.
-                        let _ = shutdown_rx.blocking_recv();
-                        debug!("VoiceWake: stream holder thread exiting");
-                    }
-                    Err(e) => {
-                        let _ = init_tx.send(Err(e));
-                    }
-                }
-            });
-
-            let (sr, ch) = init_rx
-                .await
-                .map_err(|_| anyhow::anyhow!("VoiceWake: stream init thread panicked"))??;
-            sample_rate = sr;
-            channels_count = ch;
+            // Keep the stream alive for the lifetime of the channel.
+            // We leak it intentionally — the channel runs until the daemon shuts down.
+            std::mem::forget(stream);
         }
 
         // Drop the extra sender so the channel closes when the stream sender drops.
@@ -185,10 +140,6 @@ impl Channel for VoiceWakeChannel {
         let mut capture_start = Instant::now();
         let mut msg_counter: u64 = 0;
 
-        // Hard cap on capture buffer: max_capture_secs * sample_rate * channels * 2 (safety margin).
-        let max_buf_samples =
-            max_capture_secs as usize * sample_rate as usize * channels_count as usize * 2;
-
         info!(wake_word = %wake_word, "VoiceWake: entering listen loop");
 
         while let Some(chunk) = audio_rx.recv().await {
@@ -209,9 +160,7 @@ impl Channel for VoiceWakeChannel {
                     }
                 }
                 WakeState::Triggered => {
-                    if capture_buf.len() + chunk.len() <= max_buf_samples {
-                        capture_buf.extend_from_slice(&chunk);
-                    }
+                    capture_buf.extend_from_slice(&chunk);
 
                     if energy >= energy_threshold {
                         last_voice_at = Instant::now();
@@ -253,9 +202,7 @@ impl Channel for VoiceWakeChannel {
                     }
                 }
                 WakeState::Capturing => {
-                    if capture_buf.len() + chunk.len() <= max_buf_samples {
-                        capture_buf.extend_from_slice(&chunk);
-                    }
+                    capture_buf.extend_from_slice(&chunk);
 
                     if energy >= energy_threshold {
                         last_voice_at = Instant::now();
@@ -307,11 +254,13 @@ impl Channel for VoiceWakeChannel {
                         capture_buf.clear();
                     }
                 }
+                WakeState::Processing => {
+                    // Should not receive chunks while processing, but just buffer them.
+                    // State transitions happen above synchronously after transcription.
+                }
             }
         }
 
-        // Signal the stream holder thread to exit and release the microphone.
-        drop(shutdown_tx);
         bail!("VoiceWake: audio stream ended unexpectedly");
     }
 }
@@ -334,14 +283,8 @@ pub fn encode_wav_from_f32(samples: &[f32], sample_rate: u32, channels: u16) ->
     let bits_per_sample: u16 = 16;
     let byte_rate = u32::from(channels) * sample_rate * u32::from(bits_per_sample) / 8;
     let block_align = channels * bits_per_sample / 8;
-    // Guard against u32 overflow — reject buffers that exceed WAV's 4 GB limit.
-    let data_bytes = samples.len() * 2;
-    assert!(
-        u32::try_from(data_bytes).is_ok(),
-        "audio buffer too large for WAV encoding ({data_bytes} bytes)"
-    );
     #[allow(clippy::cast_possible_truncation)]
-    let data_len = data_bytes as u32;
+    let data_len = (samples.len() * 2) as u32; // 16-bit = 2 bytes per sample; max ~25 MB
     let file_len = 36 + data_len;
 
     let mut buf = Vec::with_capacity(file_len as usize + 8);
@@ -389,6 +332,7 @@ mod tests {
         assert_eq!(WakeState::Listening.to_string(), "Listening");
         assert_eq!(WakeState::Triggered.to_string(), "Triggered");
         assert_eq!(WakeState::Capturing.to_string(), "Capturing");
+        assert_eq!(WakeState::Processing.to_string(), "Processing");
     }
 
     #[test]
@@ -557,6 +501,7 @@ mod tests {
             WakeState::Listening,
             WakeState::Triggered,
             WakeState::Capturing,
+            WakeState::Processing,
         ];
         for (i, a) in states.iter().enumerate() {
             for (j, b) in states.iter().enumerate() {

src/config/mod.rs

@@ -19,9 +19,9 @@ pub use schema::{
     ImageProviderFluxConfig, ImageProviderImagenConfig, ImageProviderStabilityConfig, JiraConfig,
     KnowledgeConfig, LarkConfig, LinkedInConfig, LinkedInContentConfig, LinkedInImageConfig,
     LocalWhisperConfig, MatrixConfig, McpConfig, McpServerConfig, McpTransport, MemoryConfig,
-    Microsoft365Config, ModelRouteConfig, MultimodalConfig, NextcloudTalkConfig,
-    NodeTransportConfig, NodesConfig, NotionConfig, ObservabilityConfig, OpenAiSttConfig,
-    OpenAiTtsConfig, OpenVpnTunnelConfig, OtpConfig, OtpMethod, PacingConfig,
+    MemoryPolicyConfig, Microsoft365Config, ModelRouteConfig, MultimodalConfig,
+    NextcloudTalkConfig, NodeTransportConfig, NodesConfig, NotionConfig, ObservabilityConfig,
+    OpenAiSttConfig, OpenAiTtsConfig, OpenVpnTunnelConfig, OtpConfig, OtpMethod, PacingConfig,
     PeripheralBoardConfig, PeripheralsConfig, PluginsConfig, ProjectIntelConfig, ProxyConfig,
     ProxyScope, QdrantConfig, QueryClassificationConfig, ReliabilityConfig, ResourceLimitsConfig,
     RuntimeConfig, SandboxBackend, SandboxConfig, SchedulerConfig, SecretsConfig, SecurityConfig,

src/config/schema.rs

@@ -3809,77 +3809,6 @@ impl Default for QdrantConfig {
     }
 }
 
-/// Configuration for the mem0 (OpenMemory) memory backend.
-///
-/// Connects to a self-hosted OpenMemory server via its REST API.
-/// Deploy OpenMemory with `docker compose up` from the mem0 repo,
-/// then point `url` at the API (default `http://localhost:8765`).
-///
-/// ```toml
-/// [memory]
-/// backend = "mem0"
-///
-/// [memory.mem0]
-/// url = "http://localhost:8765"
-/// user_id = "zeroclaw"
-/// app_name = "zeroclaw"
-/// ```
-#[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
-pub struct Mem0Config {
-    /// OpenMemory server URL (e.g. `http://localhost:8765`).
-    /// Falls back to `MEM0_URL` env var if not set.
-    #[serde(default = "default_mem0_url")]
-    pub url: String,
-    /// User ID for scoping memories within mem0.
-    /// Falls back to `MEM0_USER_ID` env var, or default `"zeroclaw"`.
-    #[serde(default = "default_mem0_user_id")]
-    pub user_id: String,
-    /// Application name registered in mem0.
-    /// Falls back to `MEM0_APP_NAME` env var, or default `"zeroclaw"`.
-    #[serde(default = "default_mem0_app_name")]
-    pub app_name: String,
-    /// Whether mem0 should use its built-in LLM to extract facts from
-    /// stored text (`infer = true`) or store raw text as-is (`false`).
-    #[serde(default = "default_mem0_infer")]
-    pub infer: bool,
-    /// Custom prompt for guiding LLM-based fact extraction when `infer = true`.
-    /// Useful for non-English content (e.g. Cantonese/Chinese).
-    /// Falls back to `MEM0_EXTRACTION_PROMPT` env var.
-    /// If unset, the mem0 server uses its built-in default prompt.
-    #[serde(default = "default_mem0_extraction_prompt")]
-    pub extraction_prompt: Option<String>,
-}
-
-fn default_mem0_url() -> String {
-    std::env::var("MEM0_URL").unwrap_or_else(|_| "http://localhost:8765".into())
-}
-fn default_mem0_user_id() -> String {
-    std::env::var("MEM0_USER_ID").unwrap_or_else(|_| "zeroclaw".into())
-}
-fn default_mem0_app_name() -> String {
-    std::env::var("MEM0_APP_NAME").unwrap_or_else(|_| "zeroclaw".into())
-}
-fn default_mem0_infer() -> bool {
-    true
-}
-fn default_mem0_extraction_prompt() -> Option<String> {
-    std::env::var("MEM0_EXTRACTION_PROMPT")
-        .ok()
-        .filter(|s| !s.trim().is_empty())
-}
-
-impl Default for Mem0Config {
-    fn default() -> Self {
-        Self {
-            url: default_mem0_url(),
-            user_id: default_mem0_user_id(),
-            app_name: default_mem0_app_name(),
-            infer: default_mem0_infer(),
-            extraction_prompt: default_mem0_extraction_prompt(),
-        }
-    }
-}
-
 #[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
 #[allow(clippy::struct_excessive_bools)]
 pub struct MemoryConfig {
@@ -3954,6 +3883,43 @@ pub struct MemoryConfig {
     #[serde(default = "default_true")]
     pub auto_hydrate: bool,
 
+    // ── Retrieval Pipeline ─────────────────────────────────────
+    /// Retrieval stages to execute in order. Valid: "cache", "fts", "vector".
+    #[serde(default = "default_retrieval_stages")]
+    pub retrieval_stages: Vec<String>,
+    /// Enable LLM reranking when candidate count exceeds threshold.
+    #[serde(default)]
+    pub rerank_enabled: bool,
+    /// Minimum candidate count to trigger reranking.
+    #[serde(default = "default_rerank_threshold")]
+    pub rerank_threshold: usize,
+    /// FTS score above which to early-return without vector search (0.0–1.0).
+    #[serde(default = "default_fts_early_return_score")]
+    pub fts_early_return_score: f64,
+
+    // ── Namespace Isolation ─────────────────────────────────────
+    /// Default namespace for memory entries.
+    #[serde(default = "default_namespace")]
+    pub default_namespace: String,
+
+    // ── Conflict Resolution ─────────────────────────────────────
+    /// Cosine similarity threshold for conflict detection (0.0–1.0).
+    #[serde(default = "default_conflict_threshold")]
+    pub conflict_threshold: f64,
+
+    // ── Audit Trail ─────────────────────────────────────────────
+    /// Enable audit logging of memory operations.
+    #[serde(default)]
+    pub audit_enabled: bool,
+    /// Retention period for audit entries in days (default: 30).
+    #[serde(default = "default_audit_retention_days")]
+    pub audit_retention_days: u32,
+
+    // ── Policy Engine ───────────────────────────────────────────
+    /// Memory policy configuration.
+    #[serde(default)]
+    pub policy: MemoryPolicyConfig,
+
     // ── SQLite backend options ─────────────────────────────────
     /// For sqlite backend: max seconds to wait when opening the DB (e.g. file locked).
     /// None = wait indefinitely (default). Recommended max: 300.
@@ -3965,13 +3931,42 @@ pub struct MemoryConfig {
     /// Only used when `backend = "qdrant"`.
     #[serde(default)]
     pub qdrant: QdrantConfig,
+}
 
-    // ── Mem0 backend options ─────────────────────────────────
-    /// Configuration for mem0 (OpenMemory) backend.
-    /// Only used when `backend = "mem0"`.
-    /// Requires `--features memory-mem0` at build time.
+/// Memory policy configuration (`[memory.policy]` section).
+#[derive(Debug, Clone, Default, Serialize, Deserialize, JsonSchema)]
+pub struct MemoryPolicyConfig {
+    /// Maximum entries per namespace (0 = unlimited).
     #[serde(default)]
-    pub mem0: Mem0Config,
+    pub max_entries_per_namespace: usize,
+    /// Maximum entries per category (0 = unlimited).
+    #[serde(default)]
+    pub max_entries_per_category: usize,
+    /// Retention days by category (overrides global). Keys: "core", "daily", "conversation".
+    #[serde(default)]
+    pub retention_days_by_category: std::collections::HashMap<String, u32>,
+    /// Namespaces that are read-only (writes are rejected).
+    #[serde(default)]
+    pub read_only_namespaces: Vec<String>,
+}
+
+fn default_retrieval_stages() -> Vec<String> {
+    vec!["cache".into(), "fts".into(), "vector".into()]
+}
+fn default_rerank_threshold() -> usize {
+    5
+}
+fn default_fts_early_return_score() -> f64 {
+    0.85
+}
+fn default_namespace() -> String {
+    "default".into()
+}
+fn default_conflict_threshold() -> f64 {
+    0.85
+}
+fn default_audit_retention_days() -> u32 {
+    30
 }
 
 fn default_embedding_provider() -> String {
@@ -4045,9 +4040,17 @@ impl Default for MemoryConfig {
             snapshot_enabled: false,
             snapshot_on_hygiene: false,
             auto_hydrate: true,
+            retrieval_stages: default_retrieval_stages(),
+            rerank_enabled: false,
+            rerank_threshold: default_rerank_threshold(),
+            fts_early_return_score: default_fts_early_return_score(),
+            default_namespace: default_namespace(),
+            conflict_threshold: default_conflict_threshold(),
+            audit_enabled: false,
+            audit_retention_days: default_audit_retention_days(),
+            policy: MemoryPolicyConfig::default(),
             sqlite_open_timeout_secs: None,
             qdrant: QdrantConfig::default(),
-            mem0: Mem0Config::default(),
         }
     }
 }
@@ -4256,6 +4259,7 @@ fn default_auto_approve() -> Vec<String> {
         "glob_search".into(),
         "content_search".into(),
         "image_info".into(),
+        "weather".into(),
     ]
 }
 
@@ -4642,6 +4646,7 @@ pub struct ClassificationRule {
 
 /// Heartbeat configuration for periodic health pings (`[heartbeat]` section).
 #[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
+#[allow(clippy::struct_excessive_bools)]
 pub struct HeartbeatConfig {
     /// Enable periodic heartbeat pings. Default: `false`.
     pub enabled: bool,
@@ -4688,6 +4693,14 @@ pub struct HeartbeatConfig {
     /// Maximum number of heartbeat run history records to retain. Default: `100`.
     #[serde(default = "default_heartbeat_max_run_history")]
     pub max_run_history: u32,
+    /// Load the channel session history before each heartbeat task execution so
+    /// the LLM has conversational context. Default: `false`.
+    ///
+    /// When `true`, the session file for the configured `target`/`to` is passed
+    /// to the agent as `session_state_file`, giving it access to the recent
+    /// conversation history — just as if the user had sent a message.
+    #[serde(default)]
+    pub load_session_context: bool,
 }
 
 fn default_heartbeat_interval() -> u32 {
@@ -4726,6 +4739,7 @@ impl Default for HeartbeatConfig {
             deadman_channel: None,
             deadman_to: None,
             max_run_history: default_heartbeat_max_run_history(),
+            load_session_context: false,
         }
     }
 }
@@ -7516,22 +7530,37 @@ impl Config {
                 .await
                 .context("Failed to read config file")?;
 
-            // Track ignored/unknown config keys to warn users about silent misconfigurations
-            // (e.g., using [providers.ollama] which doesn't exist instead of top-level api_url)
+            // Deserialize the config with the standard TOML parser.
+            //
+            // Previously this used `serde_ignored::deserialize` for both
+            // deserialization and unknown-key detection.  However,
+            // `serde_ignored` silently drops field values inside nested
+            // structs that carry `#[serde(default)]` (e.g. the entire
+            // `[autonomy]` table), causing user-supplied values to be
+            // replaced by defaults.  See #4171.
+            //
+            // We now deserialize with `toml::from_str` (which is correct)
+            // and run `serde_ignored` separately just for diagnostics.
+            let mut config: Config =
+                toml::from_str(&contents).context("Failed to deserialize config file")?;
+
+            // Detect unknown/ignored config keys for diagnostic warnings.
+            // This second pass uses serde_ignored but discards the parsed
+            // result — only the ignored-path list is kept.
             let mut ignored_paths: Vec<String> = Vec::new();
-            let mut config: Config = serde_ignored::deserialize(
-                toml::de::Deserializer::parse(&contents).context("Failed to parse config file")?,
+            let _: Result<Config, _> = serde_ignored::deserialize(
+                toml::de::Deserializer::parse(&contents)
+                    .unwrap_or_else(|_| unreachable!("already parsed above")),
                 |path| {
                     ignored_paths.push(path.to_string());
                 },
-            )
-            .context("Failed to deserialize config file")?;
+            );
 
             // Warn about each unknown config key.
             // serde_ignored + #[serde(default)] on nested structs can produce
             // false positives: parent-level fields get re-reported under the
-            // nested key (e.g. "memory.mem0.auto_hydrate" even though
-            // auto_hydrate belongs to MemoryConfig, not Mem0Config).  We
+            // nested key (e.g. "memory.qdrant.auto_hydrate" even though
+            // auto_hydrate belongs to MemoryConfig, not QdrantConfig).  We
             // suppress these by checking whether the leaf key is a known field
             // on the parent struct.
             let known_memory_fields: &[&str] = &[
@@ -7560,7 +7589,7 @@ impl Config {
             ];
             for path in ignored_paths {
                 // Skip false positives from nested memory sub-sections
-                if path.starts_with("memory.mem0.") || path.starts_with("memory.qdrant.") {
+                if path.starts_with("memory.qdrant.") {
                     let leaf = path.rsplit('.').next().unwrap_or("");
                     if known_memory_fields.contains(&leaf) {
                         continue;
@@ -9986,6 +10015,37 @@ default_temperature = 0.7
         assert_eq!(parsed.provider_timeout_secs, 120);
     }
 
+    /// Regression test for #4171: the `[autonomy]` section must not be
+    /// silently dropped when parsing config TOML.
+    #[test]
+    async fn autonomy_section_is_not_silently_ignored() {
+        let raw = r#"
+default_temperature = 0.7
+
+[autonomy]
+level = "full"
+max_actions_per_hour = 99
+auto_approve = ["file_read", "memory_recall", "http_request"]
+"#;
+        let parsed = parse_test_config(raw);
+        assert_eq!(
+            parsed.autonomy.level,
+            AutonomyLevel::Full,
+            "autonomy.level must be parsed from config (was silently defaulting to Supervised)"
+        );
+        assert_eq!(
+            parsed.autonomy.max_actions_per_hour, 99,
+            "autonomy.max_actions_per_hour must be parsed from config"
+        );
+        assert!(
+            parsed
+                .autonomy
+                .auto_approve
+                .contains(&"http_request".to_string()),
+            "autonomy.auto_approve must include http_request from config"
+        );
+    }
+
     #[test]
     async fn provider_timeout_secs_parses_from_toml() {
         let raw = r#"

src/daemon/mod.rs

@@ -362,10 +362,22 @@ async fn run_heartbeat_worker(config: Config) -> Result<()> {
         };
 
         // ── Phase 2: Execute selected tasks ─────────────────────
+        // Re-read session context on every tick so we pick up messages
+        // that arrived since the daemon started.
+        let session_context = if config.heartbeat.load_session_context {
+            load_heartbeat_session_context(&config)
+        } else {
+            None
+        };
+
         let mut tick_had_error = false;
         for task in &tasks_to_run {
             let task_start = std::time::Instant::now();
-            let prompt = format!("[Heartbeat Task | {}] {}", task.priority, task.text);
+            let task_prompt = format!("[Heartbeat Task | {}] {}", task.priority, task.text);
+            let prompt = match &session_context {
+                Some(ctx) => format!("{ctx}\n\n{task_prompt}"),
+                None => task_prompt,
+            };
             let temp = config.default_temperature;
             match Box::pin(crate::agent::run(
                 config.clone(),
@@ -497,6 +509,186 @@ fn resolve_heartbeat_delivery(config: &Config) -> Result<Option<(String, String)
     }
 }
 
+/// Load recent conversation history for the heartbeat's delivery target and
+/// format it as a text preamble to inject into the task prompt.
+///
+/// Scans `{workspace}/sessions/` for JSONL files whose name starts with
+/// `{channel}_` and ends with `_{to}.jsonl` (or exactly `{channel}_{to}.jsonl`),
+/// then picks the most recently modified match. This handles session key
+/// formats such as `telegram_diskiller.jsonl` and
+/// `telegram_5673725398_diskiller.jsonl`.
+/// Returns `None` when `target`/`to` are not configured or no session exists.
+const HEARTBEAT_SESSION_CONTEXT_MESSAGES: usize = 20;
+
+fn load_heartbeat_session_context(config: &Config) -> Option<String> {
+    use crate::providers::traits::ChatMessage;
+
+    let channel = config
+        .heartbeat
+        .target
+        .as_deref()
+        .map(str::trim)
+        .filter(|v| !v.is_empty())?;
+    let to = config
+        .heartbeat
+        .to
+        .as_deref()
+        .map(str::trim)
+        .filter(|v| !v.is_empty())?;
+
+    if channel.contains('/') || channel.contains('\\') || to.contains('/') || to.contains('\\') {
+        tracing::warn!("heartbeat session context: channel/to contains path separators, skipping");
+        return None;
+    }
+
+    let sessions_dir = config.workspace_dir.join("sessions");
+
+    // Find the most recently modified JSONL file that belongs to this target.
+    // Matches both `{channel}_{to}.jsonl` and `{channel}_{anything}_{to}.jsonl`.
+    let prefix = format!("{channel}_");
+    let suffix = format!("_{to}.jsonl");
+    let exact = format!("{channel}_{to}.jsonl");
+    let mid_prefix = format!("{channel}_{to}_");
+
+    let path = std::fs::read_dir(&sessions_dir)
+        .ok()?
+        .filter_map(|e| e.ok())
+        .filter(|e| {
+            let name = e.file_name();
+            let name = name.to_string_lossy();
+            name.ends_with(".jsonl")
+                && (name == exact
+                    || (name.starts_with(&prefix) && name.ends_with(&suffix))
+                    || name.starts_with(&mid_prefix))
+        })
+        .max_by_key(|e| {
+            e.metadata()
+                .and_then(|m| m.modified())
+                .unwrap_or(std::time::SystemTime::UNIX_EPOCH)
+        })
+        .map(|e| e.path())?;
+
+    if !path.exists() {
+        tracing::debug!("💓 Heartbeat session context: no session file found for {channel}/{to}");
+        return None;
+    }
+
+    let messages = load_jsonl_messages(&path);
+    if messages.is_empty() {
+        return None;
+    }
+
+    let recent: Vec<&ChatMessage> = messages
+        .iter()
+        .filter(|m| m.role == "user" || m.role == "assistant")
+        .rev()
+        .take(HEARTBEAT_SESSION_CONTEXT_MESSAGES)
+        .collect::<Vec<_>>()
+        .into_iter()
+        .rev()
+        .collect();
+
+    // Only inject context if there is at least one real user message in the
+    // window. If the JSONL contains only assistant messages (e.g. previous
+    // heartbeat outputs with no reply yet), skip context to avoid feeding
+    // Monika's own messages back to her in a loop.
+    let has_user_message = recent.iter().any(|m| m.role == "user");
+    if !has_user_message {
+        tracing::debug!(
+            "💓 Heartbeat session context: no user messages in recent history — skipping"
+        );
+        return None;
+    }
+
+    // Use the session file's mtime as a proxy for when the last message arrived.
+    let last_message_age = std::fs::metadata(&path)
+        .ok()
+        .and_then(|m| m.modified().ok())
+        .and_then(|mtime| mtime.elapsed().ok());
+
+    let silence_note = match last_message_age {
+        Some(age) => {
+            let mins = age.as_secs() / 60;
+            if mins < 60 {
+                format!("(last message ~{mins} minutes ago)\n")
+            } else {
+                let hours = mins / 60;
+                let rem = mins % 60;
+                if rem == 0 {
+                    format!("(last message ~{hours}h ago)\n")
+                } else {
+                    format!("(last message ~{hours}h {rem}m ago)\n")
+                }
+            }
+        }
+        None => String::new(),
+    };
+
+    tracing::debug!(
+        "💓 Heartbeat session context: {} messages from {}, silence: {}",
+        recent.len(),
+        path.display(),
+        silence_note.trim(),
+    );
+
+    let mut ctx = format!(
+        "[Recent conversation history — use this for context when composing your message] {silence_note}",
+    );
+    for msg in &recent {
+        let label = if msg.role == "user" { "User" } else { "You" };
+        // Truncate very long messages to avoid bloating the prompt.
+        // Use char_indices to avoid panicking on multi-byte UTF-8 characters.
+        let content = if msg.content.len() > 500 {
+            let truncate_at = msg
+                .content
+                .char_indices()
+                .map(|(i, _)| i)
+                .take_while(|&i| i <= 500)
+                .last()
+                .unwrap_or(0);
+            format!("{}…", &msg.content[..truncate_at])
+        } else {
+            msg.content.clone()
+        };
+        ctx.push_str(label);
+        ctx.push_str(": ");
+        ctx.push_str(&content);
+        ctx.push('\n');
+    }
+
+    Some(ctx)
+}
+
+/// Read the last `HEARTBEAT_SESSION_CONTEXT_MESSAGES` `ChatMessage` lines from
+/// a JSONL session file using a bounded rolling window so we never hold the
+/// entire file in memory.
+fn load_jsonl_messages(path: &std::path::Path) -> Vec<crate::providers::traits::ChatMessage> {
+    use std::collections::VecDeque;
+    use std::io::BufRead;
+
+    let file = match std::fs::File::open(path) {
+        Ok(f) => f,
+        Err(_) => return Vec::new(),
+    };
+    let reader = std::io::BufReader::new(file);
+    let mut window: VecDeque<crate::providers::traits::ChatMessage> =
+        VecDeque::with_capacity(HEARTBEAT_SESSION_CONTEXT_MESSAGES + 1);
+    for line in reader.lines() {
+        let Ok(line) = line else { continue };
+        let trimmed = line.trim();
+        if trimmed.is_empty() {
+            continue;
+        }
+        if let Ok(msg) = serde_json::from_str::<crate::providers::traits::ChatMessage>(trimmed) {
+            window.push_back(msg);
+            if window.len() > HEARTBEAT_SESSION_CONTEXT_MESSAGES {
+                window.pop_front();
+            }
+        }
+    }
+    window.into_iter().collect()
+}
+
 /// Auto-detect the best channel for heartbeat delivery by checking which
 /// channels are configured. Returns the first match in priority order.
 fn auto_detect_heartbeat_channel(config: &Config) -> Option<(String, String)> {

src/memory/audit.rs

@@ -0,0 +1,293 @@
+//! Audit trail for memory operations.
+//!
+//! Provides a decorator `AuditedMemory<M>` that wraps any `Memory` backend
+//! and logs all operations to a `memory_audit` table. Opt-in via
+//! `[memory] audit_enabled = true`.
+
+use super::traits::{Memory, MemoryCategory, MemoryEntry, ProceduralMessage};
+use async_trait::async_trait;
+use chrono::Local;
+use parking_lot::Mutex;
+use rusqlite::{params, Connection};
+use std::path::{Path, PathBuf};
+use std::sync::Arc;
+
+/// Audit log entry operations.
+#[derive(Debug, Clone, Copy)]
+pub enum AuditOp {
+    Store,
+    Recall,
+    Get,
+    List,
+    Forget,
+    StoreProcedural,
+}
+
+impl std::fmt::Display for AuditOp {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        match self {
+            Self::Store => write!(f, "store"),
+            Self::Recall => write!(f, "recall"),
+            Self::Get => write!(f, "get"),
+            Self::List => write!(f, "list"),
+            Self::Forget => write!(f, "forget"),
+            Self::StoreProcedural => write!(f, "store_procedural"),
+        }
+    }
+}
+
+/// Decorator that wraps a `Memory` backend with audit logging.
+pub struct AuditedMemory<M: Memory> {
+    inner: M,
+    audit_conn: Arc<Mutex<Connection>>,
+    #[allow(dead_code)]
+    db_path: PathBuf,
+}
+
+impl<M: Memory> AuditedMemory<M> {
+    pub fn new(inner: M, workspace_dir: &Path) -> anyhow::Result<Self> {
+        let db_path = workspace_dir.join("memory").join("audit.db");
+        if let Some(parent) = db_path.parent() {
+            std::fs::create_dir_all(parent)?;
+        }
+
+        let conn = Connection::open(&db_path)?;
+        conn.execute_batch(
+            "PRAGMA journal_mode = WAL;
+             PRAGMA synchronous = NORMAL;
+             CREATE TABLE IF NOT EXISTS memory_audit (
+                 id INTEGER PRIMARY KEY AUTOINCREMENT,
+                 operation TEXT NOT NULL,
+                 key TEXT,
+                 namespace TEXT,
+                 session_id TEXT,
+                 timestamp TEXT NOT NULL,
+                 metadata TEXT
+             );
+             CREATE INDEX IF NOT EXISTS idx_audit_timestamp ON memory_audit(timestamp);
+             CREATE INDEX IF NOT EXISTS idx_audit_operation ON memory_audit(operation);",
+        )?;
+
+        Ok(Self {
+            inner,
+            audit_conn: Arc::new(Mutex::new(conn)),
+            db_path,
+        })
+    }
+
+    fn log_audit(
+        &self,
+        op: AuditOp,
+        key: Option<&str>,
+        namespace: Option<&str>,
+        session_id: Option<&str>,
+        metadata: Option<&str>,
+    ) {
+        let conn = self.audit_conn.lock();
+        let now = Local::now().to_rfc3339();
+        let op_str = op.to_string();
+        let _ = conn.execute(
+            "INSERT INTO memory_audit (operation, key, namespace, session_id, timestamp, metadata)
+             VALUES (?1, ?2, ?3, ?4, ?5, ?6)",
+            params![op_str, key, namespace, session_id, now, metadata],
+        );
+    }
+
+    /// Prune audit entries older than the given number of days.
+    pub fn prune_older_than(&self, retention_days: u32) -> anyhow::Result<u64> {
+        let conn = self.audit_conn.lock();
+        let cutoff =
+            (Local::now() - chrono::Duration::days(i64::from(retention_days))).to_rfc3339();
+        let affected = conn.execute(
+            "DELETE FROM memory_audit WHERE timestamp < ?1",
+            params![cutoff],
+        )?;
+        Ok(u64::try_from(affected).unwrap_or(0))
+    }
+
+    /// Count total audit entries.
+    pub fn audit_count(&self) -> anyhow::Result<usize> {
+        let conn = self.audit_conn.lock();
+        let count: i64 =
+            conn.query_row("SELECT COUNT(*) FROM memory_audit", [], |row| row.get(0))?;
+        #[allow(clippy::cast_sign_loss, clippy::cast_possible_truncation)]
+        Ok(count as usize)
+    }
+}
+
+#[async_trait]
+impl<M: Memory> Memory for AuditedMemory<M> {
+    fn name(&self) -> &str {
+        self.inner.name()
+    }
+
+    async fn store(
+        &self,
+        key: &str,
+        content: &str,
+        category: MemoryCategory,
+        session_id: Option<&str>,
+    ) -> anyhow::Result<()> {
+        self.log_audit(AuditOp::Store, Some(key), None, session_id, None);
+        self.inner.store(key, content, category, session_id).await
+    }
+
+    async fn recall(
+        &self,
+        query: &str,
+        limit: usize,
+        session_id: Option<&str>,
+        since: Option<&str>,
+        until: Option<&str>,
+    ) -> anyhow::Result<Vec<MemoryEntry>> {
+        self.log_audit(
+            AuditOp::Recall,
+            None,
+            None,
+            session_id,
+            Some(&format!("query={query}")),
+        );
+        self.inner
+            .recall(query, limit, session_id, since, until)
+            .await
+    }
+
+    async fn get(&self, key: &str) -> anyhow::Result<Option<MemoryEntry>> {
+        self.log_audit(AuditOp::Get, Some(key), None, None, None);
+        self.inner.get(key).await
+    }
+
+    async fn list(
+        &self,
+        category: Option<&MemoryCategory>,
+        session_id: Option<&str>,
+    ) -> anyhow::Result<Vec<MemoryEntry>> {
+        self.log_audit(AuditOp::List, None, None, session_id, None);
+        self.inner.list(category, session_id).await
+    }
+
+    async fn forget(&self, key: &str) -> anyhow::Result<bool> {
+        self.log_audit(AuditOp::Forget, Some(key), None, None, None);
+        self.inner.forget(key).await
+    }
+
+    async fn count(&self) -> anyhow::Result<usize> {
+        self.inner.count().await
+    }
+
+    async fn health_check(&self) -> bool {
+        self.inner.health_check().await
+    }
+
+    async fn store_procedural(
+        &self,
+        messages: &[ProceduralMessage],
+        session_id: Option<&str>,
+    ) -> anyhow::Result<()> {
+        self.log_audit(
+            AuditOp::StoreProcedural,
+            None,
+            None,
+            session_id,
+            Some(&format!("messages={}", messages.len())),
+        );
+        self.inner.store_procedural(messages, session_id).await
+    }
+
+    async fn recall_namespaced(
+        &self,
+        namespace: &str,
+        query: &str,
+        limit: usize,
+        session_id: Option<&str>,
+        since: Option<&str>,
+        until: Option<&str>,
+    ) -> anyhow::Result<Vec<MemoryEntry>> {
+        self.log_audit(
+            AuditOp::Recall,
+            None,
+            Some(namespace),
+            session_id,
+            Some(&format!("query={query}")),
+        );
+        self.inner
+            .recall_namespaced(namespace, query, limit, session_id, since, until)
+            .await
+    }
+
+    async fn store_with_metadata(
+        &self,
+        key: &str,
+        content: &str,
+        category: MemoryCategory,
+        session_id: Option<&str>,
+        namespace: Option<&str>,
+        importance: Option<f64>,
+    ) -> anyhow::Result<()> {
+        self.log_audit(AuditOp::Store, Some(key), namespace, session_id, None);
+        self.inner
+            .store_with_metadata(key, content, category, session_id, namespace, importance)
+            .await
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::memory::NoneMemory;
+    use tempfile::TempDir;
+
+    #[tokio::test]
+    async fn audited_memory_logs_store_operation() {
+        let tmp = TempDir::new().unwrap();
+        let inner = NoneMemory::new();
+        let audited = AuditedMemory::new(inner, tmp.path()).unwrap();
+
+        audited
+            .store("test_key", "test_value", MemoryCategory::Core, None)
+            .await
+            .unwrap();
+
+        assert_eq!(audited.audit_count().unwrap(), 1);
+    }
+
+    #[tokio::test]
+    async fn audited_memory_logs_recall_operation() {
+        let tmp = TempDir::new().unwrap();
+        let inner = NoneMemory::new();
+        let audited = AuditedMemory::new(inner, tmp.path()).unwrap();
+
+        let _ = audited.recall("query", 10, None, None, None).await;
+
+        assert_eq!(audited.audit_count().unwrap(), 1);
+    }
+
+    #[tokio::test]
+    async fn audited_memory_prune_works() {
+        let tmp = TempDir::new().unwrap();
+        let inner = NoneMemory::new();
+        let audited = AuditedMemory::new(inner, tmp.path()).unwrap();
+
+        audited
+            .store("k1", "v1", MemoryCategory::Core, None)
+            .await
+            .unwrap();
+
+        // Pruning with 0 days should remove entries
+        let pruned = audited.prune_older_than(0).unwrap();
+        // Entry was just created, so 0-day retention should remove it
+        // Pruning should succeed (pruned is usize, always >= 0)
+        let _ = pruned;
+    }
+
+    #[tokio::test]
+    async fn audited_memory_delegates_correctly() {
+        let tmp = TempDir::new().unwrap();
+        let inner = NoneMemory::new();
+        let audited = AuditedMemory::new(inner, tmp.path()).unwrap();
+
+        assert_eq!(audited.name(), "none");
+        assert!(audited.health_check().await);
+        assert_eq!(audited.count().await.unwrap(), 0);
+    }
+}

src/memory/backend.rs

@@ -4,7 +4,6 @@ pub enum MemoryBackendKind {
     Lucid,
     Postgres,
     Qdrant,
-    Mem0,
     Markdown,
     None,
     Unknown,
@@ -66,15 +65,6 @@ const QDRANT_PROFILE: MemoryBackendProfile = MemoryBackendProfile {
     optional_dependency: false,
 };
 
-const MEM0_PROFILE: MemoryBackendProfile = MemoryBackendProfile {
-    key: "mem0",
-    label: "Mem0 (OpenMemory) — semantic memory with LLM fact extraction via [memory.mem0]",
-    auto_save_default: true,
-    uses_sqlite_hygiene: false,
-    sqlite_based: false,
-    optional_dependency: true,
-};
-
 const NONE_PROFILE: MemoryBackendProfile = MemoryBackendProfile {
     key: "none",
     label: "None — disable persistent memory",
@@ -114,7 +104,6 @@ pub fn classify_memory_backend(backend: &str) -> MemoryBackendKind {
         "lucid" => MemoryBackendKind::Lucid,
         "postgres" => MemoryBackendKind::Postgres,
         "qdrant" => MemoryBackendKind::Qdrant,
-        "mem0" | "openmemory" => MemoryBackendKind::Mem0,
         "markdown" => MemoryBackendKind::Markdown,
         "none" => MemoryBackendKind::None,
         _ => MemoryBackendKind::Unknown,
@@ -127,7 +116,6 @@ pub fn memory_backend_profile(backend: &str) -> MemoryBackendProfile {
         MemoryBackendKind::Lucid => LUCID_PROFILE,
         MemoryBackendKind::Postgres => POSTGRES_PROFILE,
         MemoryBackendKind::Qdrant => QDRANT_PROFILE,
-        MemoryBackendKind::Mem0 => MEM0_PROFILE,
         MemoryBackendKind::Markdown => MARKDOWN_PROFILE,
         MemoryBackendKind::None => NONE_PROFILE,
         MemoryBackendKind::Unknown => CUSTOM_PROFILE,

src/memory/conflict.rs

@@ -0,0 +1,173 @@
+//! Conflict resolution for memory entries.
+//!
+//! Before storing Core memories, performs a semantic similarity check against
+//! existing entries. If cosine similarity exceeds a threshold but content
+//! differs, the old entry is marked as superseded.
+
+use super::traits::{Memory, MemoryCategory, MemoryEntry};
+
+/// Check for conflicting memories and mark old ones as superseded.
+///
+/// Returns the list of entry IDs that were superseded.
+pub async fn check_and_resolve_conflicts(
+    memory: &dyn Memory,
+    key: &str,
+    content: &str,
+    category: &MemoryCategory,
+    threshold: f64,
+) -> anyhow::Result<Vec<String>> {
+    // Only check conflicts for Core memories
+    if !matches!(category, MemoryCategory::Core) {
+        return Ok(Vec::new());
+    }
+
+    // Search for similar existing entries
+    let candidates = memory.recall(content, 10, None, None, None).await?;
+
+    let mut superseded = Vec::new();
+    for candidate in &candidates {
+        if candidate.key == key {
+            continue; // Same key = update, not conflict
+        }
+        if !matches!(candidate.category, MemoryCategory::Core) {
+            continue;
+        }
+        if let Some(score) = candidate.score {
+            if score > threshold && candidate.content != content {
+                superseded.push(candidate.id.clone());
+            }
+        }
+    }
+
+    Ok(superseded)
+}
+
+/// Mark entries as superseded in SQLite by setting their `superseded_by` column.
+pub fn mark_superseded(
+    conn: &rusqlite::Connection,
+    superseded_ids: &[String],
+    new_id: &str,
+) -> anyhow::Result<()> {
+    if superseded_ids.is_empty() {
+        return Ok(());
+    }
+
+    for id in superseded_ids {
+        conn.execute(
+            "UPDATE memories SET superseded_by = ?1 WHERE id = ?2",
+            rusqlite::params![new_id, id],
+        )?;
+    }
+
+    Ok(())
+}
+
+/// Simple text-based conflict detection without embeddings.
+///
+/// Uses token overlap (Jaccard similarity) as a fast approximation
+/// when vector embeddings are unavailable.
+pub fn jaccard_similarity(a: &str, b: &str) -> f64 {
+    let words_a: std::collections::HashSet<&str> = a.split_whitespace().collect();
+    let words_b: std::collections::HashSet<&str> = b.split_whitespace().collect();
+
+    if words_a.is_empty() && words_b.is_empty() {
+        return 1.0;
+    }
+    if words_a.is_empty() || words_b.is_empty() {
+        return 0.0;
+    }
+
+    let intersection = words_a.intersection(&words_b).count();
+    let union = words_a.union(&words_b).count();
+
+    if union == 0 {
+        0.0
+    } else {
+        intersection as f64 / union as f64
+    }
+}
+
+/// Find potentially conflicting entries using text similarity when embeddings
+/// are not available. Returns entries above the threshold.
+pub fn find_text_conflicts(
+    entries: &[MemoryEntry],
+    new_content: &str,
+    threshold: f64,
+) -> Vec<String> {
+    entries
+        .iter()
+        .filter(|e| {
+            matches!(e.category, MemoryCategory::Core)
+                && e.superseded_by.is_none()
+                && jaccard_similarity(&e.content, new_content) > threshold
+                && e.content != new_content
+        })
+        .map(|e| e.id.clone())
+        .collect()
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn jaccard_identical_strings() {
+        let sim = jaccard_similarity("hello world", "hello world");
+        assert!((sim - 1.0).abs() < f64::EPSILON);
+    }
+
+    #[test]
+    fn jaccard_disjoint_strings() {
+        let sim = jaccard_similarity("hello world", "foo bar");
+        assert!(sim.abs() < f64::EPSILON);
+    }
+
+    #[test]
+    fn jaccard_partial_overlap() {
+        let sim = jaccard_similarity("the quick brown fox", "the slow brown dog");
+        // overlap: "the", "brown" = 2; union: "the", "quick", "brown", "fox", "slow", "dog" = 6
+        assert!((sim - 2.0 / 6.0).abs() < 0.01);
+    }
+
+    #[test]
+    fn jaccard_empty_strings() {
+        assert!((jaccard_similarity("", "") - 1.0).abs() < f64::EPSILON);
+        assert!(jaccard_similarity("hello", "").abs() < f64::EPSILON);
+        assert!(jaccard_similarity("", "hello").abs() < f64::EPSILON);
+    }
+
+    #[test]
+    fn find_text_conflicts_filters_correctly() {
+        let entries = vec![
+            MemoryEntry {
+                id: "1".into(),
+                key: "pref".into(),
+                content: "User prefers Rust for systems work".into(),
+                category: MemoryCategory::Core,
+                timestamp: "now".into(),
+                session_id: None,
+                score: None,
+                namespace: "default".into(),
+                importance: Some(0.7),
+                superseded_by: None,
+            },
+            MemoryEntry {
+                id: "2".into(),
+                key: "daily1".into(),
+                content: "User prefers Rust for systems work".into(),
+                category: MemoryCategory::Daily,
+                timestamp: "now".into(),
+                session_id: None,
+                score: None,
+                namespace: "default".into(),
+                importance: Some(0.3),
+                superseded_by: None,
+            },
+        ];
+
+        // Only Core entries should be flagged
+        let conflicts = find_text_conflicts(&entries, "User now prefers Go for systems work", 0.3);
+        assert_eq!(conflicts.len(), 1);
+        assert_eq!(conflicts[0], "1");
+    }
+}

src/memory/consolidation.rs

@@ -8,6 +8,8 @@
 //! This two-phase approach replaces the naive raw-message auto-save with
 //! semantic extraction, similar to Nanobot's `save_memory` tool call pattern.
 
+use crate::memory::conflict;
+use crate::memory::importance;
 use crate::memory::traits::{Memory, MemoryCategory};
 use crate::providers::traits::Provider;
 
@@ -78,8 +80,33 @@ pub async fn consolidate_turn(
     if let Some(ref update) = result.memory_update {
         if !update.trim().is_empty() {
             let mem_key = format!("core_{}", uuid::Uuid::new_v4());
+
+            // Compute importance score heuristically.
+            let imp = importance::compute_importance(update, &MemoryCategory::Core);
+
+            // Check for conflicts with existing Core memories.
+            if let Err(e) = conflict::check_and_resolve_conflicts(
+                memory,
+                &mem_key,
+                update,
+                &MemoryCategory::Core,
+                0.85,
+            )
+            .await
+            {
+                tracing::debug!("conflict check skipped: {e}");
+            }
+
+            // Store with importance metadata.
             memory
-                .store(&mem_key, update, MemoryCategory::Core, None)
+                .store_with_metadata(
+                    &mem_key,
+                    update,
+                    MemoryCategory::Core,
+                    None,
+                    None,
+                    Some(imp),
+                )
                 .await?;
         }
     }

src/memory/hygiene.rs

@@ -1,4 +1,5 @@
 use crate::config::MemoryConfig;
+use crate::memory::policy::PolicyEnforcer;
 use anyhow::Result;
 use chrono::{DateTime, Duration, Local, NaiveDate, Utc};
 use rusqlite::{params, Connection};
@@ -47,6 +48,13 @@ pub fn run_if_due(config: &MemoryConfig, workspace_dir: &Path) -> Result<()> {
         return Ok(());
     }
 
+    // Use policy engine for per-category retention overrides.
+    let enforcer = PolicyEnforcer::new(&config.policy);
+    let conversation_retention = enforcer.retention_days_for_category(
+        &crate::memory::traits::MemoryCategory::Conversation,
+        config.conversation_retention_days,
+    );
+
     let report = HygieneReport {
         archived_memory_files: archive_daily_memory_files(
             workspace_dir,
@@ -55,12 +63,16 @@ pub fn run_if_due(config: &MemoryConfig, workspace_dir: &Path) -> Result<()> {
         archived_session_files: archive_session_files(workspace_dir, config.archive_after_days)?,
         purged_memory_archives: purge_memory_archives(workspace_dir, config.purge_after_days)?,
         purged_session_archives: purge_session_archives(workspace_dir, config.purge_after_days)?,
-        pruned_conversation_rows: prune_conversation_rows(
-            workspace_dir,
-            config.conversation_retention_days,
-        )?,
+        pruned_conversation_rows: prune_conversation_rows(workspace_dir, conversation_retention)?,
     };
 
+    // Prune audit entries if audit is enabled.
+    if config.audit_enabled {
+        if let Err(e) = prune_audit_entries(workspace_dir, config.audit_retention_days) {
+            tracing::debug!("audit pruning skipped: {e}");
+        }
+    }
+
     write_state(workspace_dir, &report)?;
 
     if report.total_actions() > 0 {
@@ -318,6 +330,32 @@ fn prune_conversation_rows(workspace_dir: &Path, retention_days: u32) -> Result<
     Ok(u64::try_from(affected).unwrap_or(0))
 }
 
+fn prune_audit_entries(workspace_dir: &Path, retention_days: u32) -> Result<()> {
+    if retention_days == 0 {
+        return Ok(());
+    }
+
+    let db_path = workspace_dir.join("memory").join("audit.db");
+    if !db_path.exists() {
+        return Ok(());
+    }
+
+    let conn = Connection::open(db_path)?;
+    conn.execute_batch("PRAGMA journal_mode = WAL; PRAGMA synchronous = NORMAL;")?;
+    let cutoff = (Local::now() - Duration::days(i64::from(retention_days))).to_rfc3339();
+
+    let affected = conn.execute(
+        "DELETE FROM memory_audit WHERE timestamp < ?1",
+        params![cutoff],
+    )?;
+
+    if affected > 0 {
+        tracing::debug!("pruned {affected} audit entries older than {retention_days} days");
+    }
+
+    Ok(())
+}
+
 fn memory_date_from_filename(filename: &str) -> Option<NaiveDate> {
     let stem = filename.strip_suffix(".md")?;
     let date_part = stem.split('_').next().unwrap_or(stem);

src/memory/importance.rs

@@ -0,0 +1,107 @@
+//! Heuristic importance scorer for non-LLM paths.
+//!
+//! Assigns importance scores (0.0–1.0) based on memory category and keyword
+//! signals. Used when LLM-based consolidation is unavailable or as a fast
+//! first-pass scorer.
+
+use super::traits::MemoryCategory;
+
+/// Base importance by category.
+fn category_base_score(category: &MemoryCategory) -> f64 {
+    match category {
+        MemoryCategory::Core => 0.7,
+        MemoryCategory::Daily => 0.3,
+        MemoryCategory::Conversation => 0.2,
+        MemoryCategory::Custom(_) => 0.4,
+    }
+}
+
+/// Keyword boost: if the content contains high-signal keywords, bump importance.
+fn keyword_boost(content: &str) -> f64 {
+    const HIGH_SIGNAL_KEYWORDS: &[&str] = &[
+        "decision",
+        "always",
+        "never",
+        "important",
+        "critical",
+        "must",
+        "requirement",
+        "policy",
+        "rule",
+        "principle",
+    ];
+
+    let lowered = content.to_ascii_lowercase();
+    let matches = HIGH_SIGNAL_KEYWORDS
+        .iter()
+        .filter(|kw| lowered.contains(**kw))
+        .count();
+
+    // Cap at +0.2
+    (matches as f64 * 0.1).min(0.2)
+}
+
+/// Compute heuristic importance score for a memory entry.
+pub fn compute_importance(content: &str, category: &MemoryCategory) -> f64 {
+    let base = category_base_score(category);
+    let boost = keyword_boost(content);
+    (base + boost).min(1.0)
+}
+
+/// Compute final retrieval score incorporating importance and recency.
+///
+/// `hybrid_score`: raw retrieval score from FTS/vector (0.0–1.0)
+/// `importance`: importance score (0.0–1.0)
+/// `recency_decay`: recency factor (0.0–1.0, 1.0 = very recent)
+pub fn weighted_final_score(hybrid_score: f64, importance: f64, recency_decay: f64) -> f64 {
+    hybrid_score * 0.7 + importance * 0.2 + recency_decay * 0.1
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn core_category_has_high_base_score() {
+        let score = compute_importance("some fact", &MemoryCategory::Core);
+        assert!((score - 0.7).abs() < f64::EPSILON);
+    }
+
+    #[test]
+    fn conversation_category_has_low_base_score() {
+        let score = compute_importance("chat message", &MemoryCategory::Conversation);
+        assert!((score - 0.2).abs() < f64::EPSILON);
+    }
+
+    #[test]
+    fn keywords_boost_importance() {
+        let score = compute_importance(
+            "This is a critical decision that must always be followed",
+            &MemoryCategory::Core,
+        );
+        // base 0.7 + boost for "critical", "decision", "must", "always" = 0.7 + 0.2 (capped) = 0.9
+        assert!(score > 0.85);
+    }
+
+    #[test]
+    fn boost_capped_at_point_two() {
+        let score = compute_importance(
+            "important critical decision rule policy must always never requirement principle",
+            &MemoryCategory::Conversation,
+        );
+        // base 0.2 + max boost 0.2 = 0.4
+        assert!((score - 0.4).abs() < f64::EPSILON);
+    }
+
+    #[test]
+    fn weighted_final_score_formula() {
+        let score = weighted_final_score(1.0, 1.0, 1.0);
+        assert!((score - 1.0).abs() < f64::EPSILON);
+
+        let score = weighted_final_score(0.0, 0.0, 0.0);
+        assert!(score.abs() < f64::EPSILON);
+
+        let score = weighted_final_score(0.5, 0.5, 0.5);
+        assert!((score - 0.5).abs() < f64::EPSILON);
+    }
+}

src/memory/lucid.rs

@@ -226,6 +226,9 @@ impl LucidMemory {
                 timestamp: now.clone(),
                 session_id: None,
                 score: Some((1.0 - rank as f64 * 0.05).max(0.1)),
+                namespace: "default".into(),
+                importance: None,
+                superseded_by: None,
             });
         }
 

src/memory/markdown.rs

@@ -91,6 +91,9 @@ impl MarkdownMemory {
                     timestamp: filename.to_string(),
                     session_id: None,
                     score: None,
+                    namespace: "default".into(),
+                    importance: None,
+                    superseded_by: None,
                 }
             })
             .collect()

src/memory/mem0.rs

@@ -1,635 +0,0 @@
-//! Mem0 (OpenMemory) memory backend.
-//!
-//! Connects to a self-hosted OpenMemory server via its REST API
-//! and implements the [`Memory`] trait for seamless integration with
-//! ZeroClaw's auto-save, auto-recall, and hygiene lifecycle.
-//!
-//! Deploy OpenMemory: `docker compose up` from the mem0 repo.
-//! Default endpoint: `http://localhost:8765`.
-
-use super::traits::{Memory, MemoryCategory, MemoryEntry, ProceduralMessage};
-use crate::config::schema::Mem0Config;
-use async_trait::async_trait;
-use reqwest::Client;
-use serde::{Deserialize, Serialize};
-
-/// Memory backend backed by a mem0 (OpenMemory) REST API.
-pub struct Mem0Memory {
-    client: Client,
-    base_url: String,
-    user_id: String,
-    app_name: String,
-    infer: bool,
-    extraction_prompt: Option<String>,
-}
-
-// ── mem0 API request/response types ────────────────────────────────
-
-#[derive(Serialize)]
-struct AddMemoryRequest<'a> {
-    user_id: &'a str,
-    text: &'a str,
-    #[serde(skip_serializing_if = "Option::is_none")]
-    metadata: Option<Mem0Metadata<'a>>,
-    infer: bool,
-    #[serde(skip_serializing_if = "Option::is_none")]
-    app: Option<&'a str>,
-    #[serde(skip_serializing_if = "Option::is_none")]
-    custom_instructions: Option<&'a str>,
-}
-
-#[derive(Serialize)]
-struct Mem0Metadata<'a> {
-    key: &'a str,
-    category: &'a str,
-    #[serde(skip_serializing_if = "Option::is_none")]
-    session_id: Option<&'a str>,
-}
-
-#[derive(Serialize)]
-struct AddProceduralRequest<'a> {
-    user_id: &'a str,
-    messages: &'a [ProceduralMessage],
-    #[serde(skip_serializing_if = "Option::is_none")]
-    metadata: Option<serde_json::Value>,
-}
-
-#[derive(Serialize)]
-struct DeleteMemoriesRequest<'a> {
-    memory_ids: Vec<&'a str>,
-    user_id: &'a str,
-}
-
-#[derive(Deserialize)]
-struct Mem0MemoryItem {
-    id: String,
-    #[serde(alias = "content", alias = "text", default)]
-    memory: String,
-    #[serde(default)]
-    created_at: Option<serde_json::Value>,
-    #[serde(default, rename = "metadata_")]
-    metadata: Option<Mem0ResponseMetadata>,
-    #[serde(alias = "relevance_score", default)]
-    score: Option<f64>,
-}
-
-#[derive(Deserialize, Default)]
-struct Mem0ResponseMetadata {
-    #[serde(default)]
-    key: Option<String>,
-    #[serde(default)]
-    category: Option<String>,
-    #[serde(default)]
-    session_id: Option<String>,
-}
-
-#[derive(Deserialize)]
-struct Mem0ListResponse {
-    #[serde(default)]
-    items: Vec<Mem0MemoryItem>,
-    #[serde(default)]
-    total: usize,
-}
-
-// ── Implementation ─────────────────────────────────────────────────
-
-impl Mem0Memory {
-    /// Create a new mem0 memory backend from config.
-    pub fn new(config: &Mem0Config) -> anyhow::Result<Self> {
-        let base_url = config.url.trim_end_matches('/').to_string();
-        if base_url.is_empty() {
-            anyhow::bail!("mem0 URL is empty; set [memory.mem0] url or MEM0_URL env var");
-        }
-
-        let client = Client::builder()
-            .timeout(std::time::Duration::from_secs(30))
-            .build()?;
-
-        Ok(Self {
-            client,
-            base_url,
-            user_id: config.user_id.clone(),
-            app_name: config.app_name.clone(),
-            infer: config.infer,
-            extraction_prompt: config.extraction_prompt.clone(),
-        })
-    }
-
-    fn api_url(&self, path: &str) -> String {
-        format!("{}/api/v1{}", self.base_url, path)
-    }
-
-    /// Use `session_id` as the effective mem0 `user_id` when provided,
-    /// falling back to the configured default.  This enables per-user
-    /// and per-group memory scoping via the existing `Memory` trait.
-    fn effective_user_id<'a>(&'a self, session_id: Option<&'a str>) -> &'a str {
-        session_id
-            .filter(|s| !s.trim().is_empty())
-            .unwrap_or(&self.user_id)
-    }
-
-    /// Recall memories with optional search filters.
-    ///
-    /// - `created_after` / `created_before`: ISO 8601 timestamps for time-range filtering.
-    /// - `metadata_filter`: arbitrary JSON object passed to the mem0 SDK `filters` param.
-    pub async fn recall_filtered(
-        &self,
-        query: &str,
-        limit: usize,
-        session_id: Option<&str>,
-        created_after: Option<&str>,
-        created_before: Option<&str>,
-        metadata_filter: Option<&serde_json::Value>,
-    ) -> anyhow::Result<Vec<MemoryEntry>> {
-        let effective_user = self.effective_user_id(session_id);
-        let limit_str = limit.to_string();
-        let mut params: Vec<(&str, &str)> = vec![
-            ("user_id", effective_user),
-            ("search_query", query),
-            ("size", &limit_str),
-        ];
-        if let Some(after) = created_after {
-            params.push(("created_after", after));
-        }
-        if let Some(before) = created_before {
-            params.push(("created_before", before));
-        }
-        let meta_json;
-        if let Some(mf) = metadata_filter {
-            meta_json = serde_json::to_string(mf)?;
-            params.push(("metadata_filter", &meta_json));
-        }
-
-        let resp = self
-            .client
-            .get(self.api_url("/memories/"))
-            .query(&params)
-            .send()
-            .await?;
-
-        if !resp.status().is_success() {
-            let status = resp.status();
-            let text = resp.text().await.unwrap_or_default();
-            anyhow::bail!("mem0 recall failed ({status}): {text}");
-        }
-
-        let list: Mem0ListResponse = resp.json().await?;
-        Ok(list.items.into_iter().map(|i| self.to_entry(i)).collect())
-    }
-
-    fn to_entry(&self, item: Mem0MemoryItem) -> MemoryEntry {
-        let meta = item.metadata.unwrap_or_default();
-        let timestamp = match item.created_at {
-            Some(serde_json::Value::Number(n)) => {
-                // Unix timestamp → ISO 8601
-                if let Some(ts) = n.as_i64() {
-                    chrono::DateTime::from_timestamp(ts, 0)
-                        .map(|dt| dt.to_rfc3339())
-                        .unwrap_or_default()
-                } else {
-                    String::new()
-                }
-            }
-            Some(serde_json::Value::String(s)) => s,
-            _ => String::new(),
-        };
-
-        let category = match meta.category.as_deref() {
-            Some("daily") => MemoryCategory::Daily,
-            Some("conversation") => MemoryCategory::Conversation,
-            Some(other) if other != "core" => MemoryCategory::Custom(other.to_string()),
-            // "core" or None → default
-            _ => MemoryCategory::Core,
-        };
-
-        MemoryEntry {
-            id: item.id,
-            key: meta.key.unwrap_or_default(),
-            content: item.memory,
-            category,
-            timestamp,
-            session_id: meta.session_id,
-            score: item.score,
-        }
-    }
-
-    /// Store a conversation trace as procedural memory.
-    ///
-    /// Sends the message history (user input, tool calls, assistant response)
-    /// to the mem0 procedural endpoint so that "how to" patterns can be
-    /// extracted and stored for future recall.
-    pub async fn store_procedural(
-        &self,
-        messages: &[ProceduralMessage],
-        session_id: Option<&str>,
-    ) -> anyhow::Result<()> {
-        if messages.is_empty() {
-            return Ok(());
-        }
-
-        let effective_user = self.effective_user_id(session_id);
-        let body = AddProceduralRequest {
-            user_id: effective_user,
-            messages,
-            metadata: None,
-        };
-
-        let resp = self
-            .client
-            .post(self.api_url("/memories/procedural"))
-            .json(&body)
-            .send()
-            .await?;
-
-        if !resp.status().is_success() {
-            let status = resp.status();
-            let text = resp.text().await.unwrap_or_default();
-            anyhow::bail!("mem0 store_procedural failed ({status}): {text}");
-        }
-
-        Ok(())
-    }
-}
-
-// ── History API types ─────────────────────────────────────────────
-
-#[derive(Deserialize)]
-struct Mem0HistoryResponse {
-    #[serde(default)]
-    history: Vec<serde_json::Value>,
-    #[serde(default)]
-    error: Option<String>,
-}
-
-impl Mem0Memory {
-    /// Retrieve the edit history (audit trail) for a specific memory by ID.
-    pub async fn history(&self, memory_id: &str) -> anyhow::Result<String> {
-        let url = self.api_url(&format!("/memories/{memory_id}/history"));
-        let resp = self.client.get(&url).send().await?;
-
-        if !resp.status().is_success() {
-            let status = resp.status();
-            let text = resp.text().await.unwrap_or_default();
-            anyhow::bail!("mem0 history failed ({status}): {text}");
-        }
-
-        let body: Mem0HistoryResponse = resp.json().await?;
-
-        if let Some(err) = body.error {
-            anyhow::bail!("mem0 history error: {err}");
-        }
-
-        if body.history.is_empty() {
-            return Ok(format!("No history found for memory {memory_id}."));
-        }
-
-        let mut lines = Vec::with_capacity(body.history.len() + 1);
-        lines.push(format!("History for memory {memory_id}:"));
-
-        for (i, entry) in body.history.iter().enumerate() {
-            let event = entry
-                .get("event")
-                .and_then(|v| v.as_str())
-                .unwrap_or("unknown");
-            let old_memory = entry
-                .get("old_memory")
-                .and_then(|v| v.as_str())
-                .unwrap_or("-");
-            let new_memory = entry
-                .get("new_memory")
-                .and_then(|v| v.as_str())
-                .unwrap_or("-");
-            let timestamp = entry
-                .get("created_at")
-                .or_else(|| entry.get("timestamp"))
-                .and_then(|v| v.as_str())
-                .unwrap_or("unknown");
-
-            lines.push(format!(
-                "  {idx}. [{event}] at {timestamp}\n     old: {old_memory}\n     new: {new_memory}",
-                idx = i + 1,
-            ));
-        }
-
-        Ok(lines.join("\n"))
-    }
-}
-
-#[async_trait]
-impl Memory for Mem0Memory {
-    fn name(&self) -> &str {
-        "mem0"
-    }
-
-    async fn store(
-        &self,
-        key: &str,
-        content: &str,
-        category: MemoryCategory,
-        session_id: Option<&str>,
-    ) -> anyhow::Result<()> {
-        let cat_str = category.to_string();
-        let effective_user = self.effective_user_id(session_id);
-        let body = AddMemoryRequest {
-            user_id: effective_user,
-            text: content,
-            metadata: Some(Mem0Metadata {
-                key,
-                category: &cat_str,
-                session_id,
-            }),
-            infer: self.infer,
-            app: Some(&self.app_name),
-            custom_instructions: self.extraction_prompt.as_deref(),
-        };
-
-        let resp = self
-            .client
-            .post(self.api_url("/memories/"))
-            .json(&body)
-            .send()
-            .await?;
-
-        if !resp.status().is_success() {
-            let status = resp.status();
-            let text = resp.text().await.unwrap_or_default();
-            anyhow::bail!("mem0 store failed ({status}): {text}");
-        }
-
-        Ok(())
-    }
-
-    async fn recall(
-        &self,
-        query: &str,
-        limit: usize,
-        session_id: Option<&str>,
-        _since: Option<&str>,
-        _until: Option<&str>,
-    ) -> anyhow::Result<Vec<MemoryEntry>> {
-        // mem0 handles filtering server-side; since/until are not yet
-        // supported by the mem0 API, so we pass them through as no-ops.
-        self.recall_filtered(query, limit, session_id, None, None, None)
-            .await
-    }
-
-    async fn get(&self, key: &str) -> anyhow::Result<Option<MemoryEntry>> {
-        // mem0 doesn't have a get-by-key API, so we search by key in metadata
-        let results = self.recall(key, 1, None, None, None).await?;
-        Ok(results.into_iter().find(|e| e.key == key))
-    }
-
-    async fn list(
-        &self,
-        category: Option<&MemoryCategory>,
-        session_id: Option<&str>,
-    ) -> anyhow::Result<Vec<MemoryEntry>> {
-        let effective_user = self.effective_user_id(session_id);
-        let resp = self
-            .client
-            .get(self.api_url("/memories/"))
-            .query(&[("user_id", effective_user), ("size", "100")])
-            .send()
-            .await?;
-
-        if !resp.status().is_success() {
-            let status = resp.status();
-            let text = resp.text().await.unwrap_or_default();
-            anyhow::bail!("mem0 list failed ({status}): {text}");
-        }
-
-        let list: Mem0ListResponse = resp.json().await?;
-        let entries: Vec<MemoryEntry> = list.items.into_iter().map(|i| self.to_entry(i)).collect();
-
-        // Client-side category filter (mem0 API doesn't filter by metadata)
-        match category {
-            Some(cat) => Ok(entries.into_iter().filter(|e| &e.category == cat).collect()),
-            None => Ok(entries),
-        }
-    }
-
-    async fn forget(&self, key: &str) -> anyhow::Result<bool> {
-        // Find the memory ID by key first
-        let entry = self.get(key).await?;
-        let entry = match entry {
-            Some(e) => e,
-            None => return Ok(false),
-        };
-
-        let body = DeleteMemoriesRequest {
-            memory_ids: vec![&entry.id],
-            user_id: &self.user_id,
-        };
-
-        let resp = self
-            .client
-            .delete(self.api_url("/memories/"))
-            .json(&body)
-            .send()
-            .await?;
-
-        Ok(resp.status().is_success())
-    }
-
-    async fn count(&self) -> anyhow::Result<usize> {
-        let resp = self
-            .client
-            .get(self.api_url("/memories/"))
-            .query(&[
-                ("user_id", self.user_id.as_str()),
-                ("size", "1"),
-                ("page", "1"),
-            ])
-            .send()
-            .await?;
-
-        if !resp.status().is_success() {
-            let status = resp.status();
-            let text = resp.text().await.unwrap_or_default();
-            anyhow::bail!("mem0 count failed ({status}): {text}");
-        }
-
-        let list: Mem0ListResponse = resp.json().await?;
-        Ok(list.total)
-    }
-
-    async fn health_check(&self) -> bool {
-        self.client
-            .get(self.api_url("/memories/"))
-            .query(&[
-                ("user_id", self.user_id.as_str()),
-                ("size", "1"),
-                ("page", "1"),
-            ])
-            .send()
-            .await
-            .is_ok_and(|r| r.status().is_success())
-    }
-
-    async fn store_procedural(
-        &self,
-        messages: &[ProceduralMessage],
-        session_id: Option<&str>,
-    ) -> anyhow::Result<()> {
-        Mem0Memory::store_procedural(self, messages, session_id).await
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    fn test_config() -> Mem0Config {
-        Mem0Config {
-            url: "http://localhost:8765".into(),
-            user_id: "test-user".into(),
-            app_name: "test-app".into(),
-            infer: true,
-            extraction_prompt: None,
-        }
-    }
-
-    #[test]
-    fn new_rejects_empty_url() {
-        let config = Mem0Config {
-            url: String::new(),
-            ..test_config()
-        };
-        assert!(Mem0Memory::new(&config).is_err());
-    }
-
-    #[test]
-    fn new_trims_trailing_slash() {
-        let config = Mem0Config {
-            url: "http://localhost:8765/".into(),
-            ..test_config()
-        };
-        let mem = Mem0Memory::new(&config).unwrap();
-        assert_eq!(mem.base_url, "http://localhost:8765");
-    }
-
-    #[test]
-    fn api_url_builds_correct_path() {
-        let mem = Mem0Memory::new(&test_config()).unwrap();
-        assert_eq!(
-            mem.api_url("/memories/"),
-            "http://localhost:8765/api/v1/memories/"
-        );
-    }
-
-    #[test]
-    fn to_entry_maps_unix_timestamp() {
-        let mem = Mem0Memory::new(&test_config()).unwrap();
-        let item = Mem0MemoryItem {
-            id: "id-1".into(),
-            memory: "hello".into(),
-            created_at: Some(serde_json::json!(1_700_000_000)),
-            metadata: Some(Mem0ResponseMetadata {
-                key: Some("k1".into()),
-                category: Some("core".into()),
-                session_id: None,
-            }),
-            score: Some(0.95),
-        };
-        let entry = mem.to_entry(item);
-        assert_eq!(entry.id, "id-1");
-        assert_eq!(entry.key, "k1");
-        assert_eq!(entry.category, MemoryCategory::Core);
-        assert!(!entry.timestamp.is_empty());
-        assert_eq!(entry.score, Some(0.95));
-    }
-
-    #[test]
-    fn to_entry_maps_string_timestamp() {
-        let mem = Mem0Memory::new(&test_config()).unwrap();
-        let item = Mem0MemoryItem {
-            id: "id-2".into(),
-            memory: "world".into(),
-            created_at: Some(serde_json::json!("2024-01-01T00:00:00Z")),
-            metadata: None,
-            score: None,
-        };
-        let entry = mem.to_entry(item);
-        assert_eq!(entry.timestamp, "2024-01-01T00:00:00Z");
-        assert_eq!(entry.category, MemoryCategory::Core); // default
-    }
-
-    #[test]
-    fn to_entry_handles_missing_metadata() {
-        let mem = Mem0Memory::new(&test_config()).unwrap();
-        let item = Mem0MemoryItem {
-            id: "id-3".into(),
-            memory: "bare".into(),
-            created_at: None,
-            metadata: None,
-            score: None,
-        };
-        let entry = mem.to_entry(item);
-        assert_eq!(entry.key, "");
-        assert_eq!(entry.category, MemoryCategory::Core);
-        assert!(entry.timestamp.is_empty());
-        assert_eq!(entry.score, None);
-    }
-
-    #[test]
-    fn to_entry_custom_category() {
-        let mem = Mem0Memory::new(&test_config()).unwrap();
-        let item = Mem0MemoryItem {
-            id: "id-4".into(),
-            memory: "custom".into(),
-            created_at: None,
-            metadata: Some(Mem0ResponseMetadata {
-                key: Some("k".into()),
-                category: Some("project_notes".into()),
-                session_id: Some("s1".into()),
-            }),
-            score: None,
-        };
-        let entry = mem.to_entry(item);
-        assert_eq!(
-            entry.category,
-            MemoryCategory::Custom("project_notes".into())
-        );
-        assert_eq!(entry.session_id.as_deref(), Some("s1"));
-    }
-
-    #[test]
-    fn name_returns_mem0() {
-        let mem = Mem0Memory::new(&test_config()).unwrap();
-        assert_eq!(mem.name(), "mem0");
-    }
-
-    #[test]
-    fn procedural_request_serializes_messages() {
-        let messages = vec![
-            ProceduralMessage {
-                role: "user".into(),
-                content: "How do I deploy?".into(),
-                name: None,
-            },
-            ProceduralMessage {
-                role: "tool".into(),
-                content: "deployment started".into(),
-                name: Some("shell".into()),
-            },
-            ProceduralMessage {
-                role: "assistant".into(),
-                content: "Deployment complete.".into(),
-                name: None,
-            },
-        ];
-        let req = AddProceduralRequest {
-            user_id: "test-user",
-            messages: &messages,
-            metadata: None,
-        };
-        let json = serde_json::to_value(&req).unwrap();
-        assert_eq!(json["user_id"], "test-user");
-        let msgs = json["messages"].as_array().unwrap();
-        assert_eq!(msgs.len(), 3);
-        assert_eq!(msgs[0]["role"], "user");
-        assert_eq!(msgs[1]["name"], "shell");
-        // metadata should be absent when None
-        assert!(json.get("metadata").is_none());
-    }
-}

src/memory/mod.rs

@@ -1,24 +1,32 @@
+pub mod audit;
 pub mod backend;
 pub mod chunker;
 pub mod cli;
+pub mod conflict;
 pub mod consolidation;
 pub mod embeddings;
 pub mod hygiene;
+pub mod importance;
 pub mod knowledge_graph;
 pub mod lucid;
 pub mod markdown;
-#[cfg(feature = "memory-mem0")]
-pub mod mem0;
 pub mod none;
+pub mod policy;
 #[cfg(feature = "memory-postgres")]
 pub mod postgres;
 pub mod qdrant;
 pub mod response_cache;
+pub mod retrieval;
 pub mod snapshot;
 pub mod sqlite;
 pub mod traits;
 pub mod vector;
 
+#[cfg(test)]
+mod battle_tests;
+
+#[allow(unused_imports)]
+pub use audit::AuditedMemory;
 #[allow(unused_imports)]
 pub use backend::{
     classify_memory_backend, default_memory_backend_key, memory_backend_profile,
@@ -26,13 +34,15 @@ pub use backend::{
 };
 pub use lucid::LucidMemory;
 pub use markdown::MarkdownMemory;
-#[cfg(feature = "memory-mem0")]
-pub use mem0::Mem0Memory;
 pub use none::NoneMemory;
+#[allow(unused_imports)]
+pub use policy::PolicyEnforcer;
 #[cfg(feature = "memory-postgres")]
 pub use postgres::PostgresMemory;
 pub use qdrant::QdrantMemory;
 pub use response_cache::ResponseCache;
+#[allow(unused_imports)]
+pub use retrieval::{RetrievalConfig, RetrievalPipeline};
 pub use sqlite::SqliteMemory;
 pub use traits::Memory;
 #[allow(unused_imports)]
@@ -61,7 +71,7 @@ where
             Ok(Box::new(LucidMemory::new(workspace_dir, local)))
         }
         MemoryBackendKind::Postgres => postgres_builder(),
-        MemoryBackendKind::Qdrant | MemoryBackendKind::Mem0 | MemoryBackendKind::Markdown => {
+        MemoryBackendKind::Qdrant | MemoryBackendKind::Markdown => {
             Ok(Box::new(MarkdownMemory::new(workspace_dir)))
         }
         MemoryBackendKind::None => Ok(Box::new(NoneMemory::new())),
@@ -340,28 +350,6 @@ pub fn create_memory_with_storage_and_routes(
         );
     }
 
-    #[cfg(feature = "memory-mem0")]
-    fn build_mem0_memory(config: &crate::config::MemoryConfig) -> anyhow::Result<Box<dyn Memory>> {
-        let mem = Mem0Memory::new(&config.mem0)?;
-        tracing::info!(
-            "📦 Mem0 memory backend configured (url: {}, user: {})",
-            config.mem0.url,
-            config.mem0.user_id
-        );
-        Ok(Box::new(mem))
-    }
-
-    #[cfg(not(feature = "memory-mem0"))]
-    fn build_mem0_memory(_config: &crate::config::MemoryConfig) -> anyhow::Result<Box<dyn Memory>> {
-        anyhow::bail!(
-            "memory backend 'mem0' requested but this build was compiled without `memory-mem0`; rebuild with `--features memory-mem0`"
-        );
-    }
-
-    if matches!(backend_kind, MemoryBackendKind::Mem0) {
-        return build_mem0_memory(config);
-    }
-
     if matches!(backend_kind, MemoryBackendKind::Qdrant) {
         let url = config
             .qdrant

src/memory/policy.rs

@@ -0,0 +1,192 @@
+//! Policy engine for memory operations.
+//!
+//! Validates operations against configurable rules before they reach the
+//! backend. Enforces namespace quotas, category limits, read-only namespaces,
+//! and per-category retention rules.
+
+use super::traits::MemoryCategory;
+use crate::config::MemoryPolicyConfig;
+
+/// Policy enforcer that validates memory operations.
+pub struct PolicyEnforcer {
+    config: MemoryPolicyConfig,
+}
+
+impl PolicyEnforcer {
+    pub fn new(config: &MemoryPolicyConfig) -> Self {
+        Self {
+            config: config.clone(),
+        }
+    }
+
+    /// Check if a namespace is read-only.
+    pub fn is_read_only(&self, namespace: &str) -> bool {
+        self.config
+            .read_only_namespaces
+            .iter()
+            .any(|ns| ns == namespace)
+    }
+
+    /// Validate a store operation against policy rules.
+    pub fn validate_store(
+        &self,
+        namespace: &str,
+        _category: &MemoryCategory,
+    ) -> Result<(), PolicyViolation> {
+        if self.is_read_only(namespace) {
+            return Err(PolicyViolation::ReadOnlyNamespace(namespace.to_string()));
+        }
+        Ok(())
+    }
+
+    /// Check if adding an entry would exceed namespace limits.
+    pub fn check_namespace_limit(&self, current_count: usize) -> Result<(), PolicyViolation> {
+        if self.config.max_entries_per_namespace > 0
+            && current_count >= self.config.max_entries_per_namespace
+        {
+            return Err(PolicyViolation::NamespaceQuotaExceeded {
+                max: self.config.max_entries_per_namespace,
+                current: current_count,
+            });
+        }
+        Ok(())
+    }
+
+    /// Check if adding an entry would exceed category limits.
+    pub fn check_category_limit(&self, current_count: usize) -> Result<(), PolicyViolation> {
+        if self.config.max_entries_per_category > 0
+            && current_count >= self.config.max_entries_per_category
+        {
+            return Err(PolicyViolation::CategoryQuotaExceeded {
+                max: self.config.max_entries_per_category,
+                current: current_count,
+            });
+        }
+        Ok(())
+    }
+
+    /// Get the retention days for a specific category, falling back to the
+    /// provided default if no per-category override exists.
+    pub fn retention_days_for_category(&self, category: &MemoryCategory, default_days: u32) -> u32 {
+        let key = category.to_string();
+        self.config
+            .retention_days_by_category
+            .get(&key)
+            .copied()
+            .unwrap_or(default_days)
+    }
+}
+
+/// Policy violation errors.
+#[derive(Debug, Clone)]
+pub enum PolicyViolation {
+    ReadOnlyNamespace(String),
+    NamespaceQuotaExceeded { max: usize, current: usize },
+    CategoryQuotaExceeded { max: usize, current: usize },
+}
+
+impl std::fmt::Display for PolicyViolation {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        match self {
+            Self::ReadOnlyNamespace(ns) => write!(f, "namespace '{ns}' is read-only"),
+            Self::NamespaceQuotaExceeded { max, current } => {
+                write!(f, "namespace quota exceeded: {current}/{max} entries")
+            }
+            Self::CategoryQuotaExceeded { max, current } => {
+                write!(f, "category quota exceeded: {current}/{max} entries")
+            }
+        }
+    }
+}
+
+impl std::error::Error for PolicyViolation {}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use std::collections::HashMap;
+
+    fn empty_policy() -> MemoryPolicyConfig {
+        MemoryPolicyConfig::default()
+    }
+
+    #[test]
+    fn default_policy_allows_everything() {
+        let enforcer = PolicyEnforcer::new(&empty_policy());
+        assert!(!enforcer.is_read_only("default"));
+        assert!(enforcer
+            .validate_store("default", &MemoryCategory::Core)
+            .is_ok());
+        assert!(enforcer.check_namespace_limit(100).is_ok());
+        assert!(enforcer.check_category_limit(100).is_ok());
+    }
+
+    #[test]
+    fn read_only_namespace_blocks_writes() {
+        let policy = MemoryPolicyConfig {
+            read_only_namespaces: vec!["archive".into()],
+            ..empty_policy()
+        };
+        let enforcer = PolicyEnforcer::new(&policy);
+
+        assert!(enforcer.is_read_only("archive"));
+        assert!(!enforcer.is_read_only("default"));
+        assert!(enforcer
+            .validate_store("archive", &MemoryCategory::Core)
+            .is_err());
+        assert!(enforcer
+            .validate_store("default", &MemoryCategory::Core)
+            .is_ok());
+    }
+
+    #[test]
+    fn namespace_quota_enforced() {
+        let policy = MemoryPolicyConfig {
+            max_entries_per_namespace: 10,
+            ..empty_policy()
+        };
+        let enforcer = PolicyEnforcer::new(&policy);
+
+        assert!(enforcer.check_namespace_limit(5).is_ok());
+        assert!(enforcer.check_namespace_limit(10).is_err());
+        assert!(enforcer.check_namespace_limit(15).is_err());
+    }
+
+    #[test]
+    fn category_quota_enforced() {
+        let policy = MemoryPolicyConfig {
+            max_entries_per_category: 50,
+            ..empty_policy()
+        };
+        let enforcer = PolicyEnforcer::new(&policy);
+
+        assert!(enforcer.check_category_limit(25).is_ok());
+        assert!(enforcer.check_category_limit(50).is_err());
+    }
+
+    #[test]
+    fn per_category_retention_overrides_default() {
+        let mut retention = HashMap::new();
+        retention.insert("core".into(), 365);
+        retention.insert("conversation".into(), 7);
+
+        let policy = MemoryPolicyConfig {
+            retention_days_by_category: retention,
+            ..empty_policy()
+        };
+        let enforcer = PolicyEnforcer::new(&policy);
+
+        assert_eq!(
+            enforcer.retention_days_for_category(&MemoryCategory::Core, 30),
+            365
+        );
+        assert_eq!(
+            enforcer.retention_days_for_category(&MemoryCategory::Conversation, 30),
+            7
+        );
+        assert_eq!(
+            enforcer.retention_days_for_category(&MemoryCategory::Daily, 30),
+            30
+        );
+    }
+}

src/memory/postgres.rs

@@ -100,6 +100,8 @@ impl PostgresMemory {
             CREATE INDEX IF NOT EXISTS idx_memories_category ON {qualified_table}(category);
             CREATE INDEX IF NOT EXISTS idx_memories_session_id ON {qualified_table}(session_id);
             CREATE INDEX IF NOT EXISTS idx_memories_updated_at ON {qualified_table}(updated_at DESC);
+            CREATE INDEX IF NOT EXISTS idx_memories_content_fts ON {qualified_table} USING gin(to_tsvector('simple', content));
+            CREATE INDEX IF NOT EXISTS idx_memories_key_fts ON {qualified_table} USING gin(to_tsvector('simple', key));
             "
         ))?;
 
@@ -135,6 +137,9 @@ impl PostgresMemory {
             timestamp: timestamp.to_rfc3339(),
             session_id: row.get(5),
             score: row.try_get(6).ok(),
+            namespace: "default".into(),
+            importance: None,
+            superseded_by: None,
         })
     }
 }
@@ -267,12 +272,16 @@ impl Memory for PostgresMemory {
                 "
                 SELECT id, key, content, category, created_at, session_id,
                        (
-                         CASE WHEN key ILIKE '%' || $1 || '%' THEN 2.0 ELSE 0.0 END +
-                         CASE WHEN content ILIKE '%' || $1 || '%' THEN 1.0 ELSE 0.0 END
+                         CASE WHEN to_tsvector('simple', key) @@ plainto_tsquery('simple', $1)
+                           THEN ts_rank_cd(to_tsvector('simple', key), plainto_tsquery('simple', $1)) * 2.0
+                           ELSE 0.0 END +
+                         CASE WHEN to_tsvector('simple', content) @@ plainto_tsquery('simple', $1)
+                           THEN ts_rank_cd(to_tsvector('simple', content), plainto_tsquery('simple', $1))
+                           ELSE 0.0 END
                        ) AS score
                 FROM {qualified_table}
                 WHERE ($2::TEXT IS NULL OR session_id = $2)
-                  AND ($1 = '' OR key ILIKE '%' || $1 || '%' OR content ILIKE '%' || $1 || '%')
+                  AND ($1 = '' OR to_tsvector('simple', key || ' ' || content) @@ plainto_tsquery('simple', $1))
                   {time_filter}
                 ORDER BY score DESC, updated_at DESC
                 LIMIT $3

src/memory/qdrant.rs

@@ -373,6 +373,9 @@ impl Memory for QdrantMemory {
                     timestamp: payload.timestamp,
                     session_id: payload.session_id,
                     score: Some(point.score),
+                    namespace: "default".into(),
+                    importance: None,
+                    superseded_by: None,
                 })
             })
             .collect();
@@ -437,6 +440,9 @@ impl Memory for QdrantMemory {
                 timestamp: payload.timestamp,
                 session_id: payload.session_id,
                 score: None,
+                namespace: "default".into(),
+                importance: None,
+                superseded_by: None,
             })
         });
 
@@ -514,6 +520,9 @@ impl Memory for QdrantMemory {
                     timestamp: payload.timestamp,
                     session_id: payload.session_id,
                     score: None,
+                    namespace: "default".into(),
+                    importance: None,
+                    superseded_by: None,
                 })
             })
             .collect();

src/memory/retrieval.rs

@@ -0,0 +1,267 @@
+//! Multi-stage retrieval pipeline.
+//!
+//! Wraps a `Memory` trait object with staged retrieval:
+//! - **Stage 1 (Hot cache):** In-memory LRU of recent recall results.
+//! - **Stage 2 (FTS):** FTS5 keyword search with optional early-return.
+//! - **Stage 3 (Vector):** Vector similarity search + hybrid merge.
+//!
+//! Configurable via `[memory]` settings: `retrieval_stages`, `fts_early_return_score`.
+
+use super::traits::{Memory, MemoryEntry};
+use parking_lot::Mutex;
+use std::collections::HashMap;
+use std::sync::Arc;
+use std::time::{Duration, Instant};
+
+/// A cached recall result.
+struct CachedResult {
+    entries: Vec<MemoryEntry>,
+    created_at: Instant,
+}
+
+/// Multi-stage retrieval pipeline configuration.
+#[derive(Debug, Clone)]
+pub struct RetrievalConfig {
+    /// Ordered list of stages: "cache", "fts", "vector".
+    pub stages: Vec<String>,
+    /// FTS score above which to early-return without vector stage.
+    pub fts_early_return_score: f64,
+    /// Max entries in the hot cache.
+    pub cache_max_entries: usize,
+    /// TTL for cached results.
+    pub cache_ttl: Duration,
+}
+
+impl Default for RetrievalConfig {
+    fn default() -> Self {
+        Self {
+            stages: vec!["cache".into(), "fts".into(), "vector".into()],
+            fts_early_return_score: 0.85,
+            cache_max_entries: 256,
+            cache_ttl: Duration::from_secs(300),
+        }
+    }
+}
+
+/// Multi-stage retrieval pipeline wrapping a `Memory` backend.
+pub struct RetrievalPipeline {
+    memory: Arc<dyn Memory>,
+    config: RetrievalConfig,
+    hot_cache: Mutex<HashMap<String, CachedResult>>,
+}
+
+impl RetrievalPipeline {
+    pub fn new(memory: Arc<dyn Memory>, config: RetrievalConfig) -> Self {
+        Self {
+            memory,
+            config,
+            hot_cache: Mutex::new(HashMap::new()),
+        }
+    }
+
+    /// Build a cache key from query parameters.
+    fn cache_key(
+        query: &str,
+        limit: usize,
+        session_id: Option<&str>,
+        namespace: Option<&str>,
+    ) -> String {
+        format!(
+            "{}:{}:{}:{}",
+            query,
+            limit,
+            session_id.unwrap_or(""),
+            namespace.unwrap_or("")
+        )
+    }
+
+    /// Check the hot cache for a previous result.
+    fn check_cache(&self, key: &str) -> Option<Vec<MemoryEntry>> {
+        let cache = self.hot_cache.lock();
+        if let Some(cached) = cache.get(key) {
+            if cached.created_at.elapsed() < self.config.cache_ttl {
+                return Some(cached.entries.clone());
+            }
+        }
+        None
+    }
+
+    /// Store a result in the hot cache with LRU eviction.
+    fn store_in_cache(&self, key: String, entries: Vec<MemoryEntry>) {
+        let mut cache = self.hot_cache.lock();
+
+        // LRU eviction: remove oldest entries if at capacity
+        if cache.len() >= self.config.cache_max_entries {
+            let oldest_key = cache
+                .iter()
+                .min_by_key(|(_, v)| v.created_at)
+                .map(|(k, _)| k.clone());
+            if let Some(k) = oldest_key {
+                cache.remove(&k);
+            }
+        }
+
+        cache.insert(
+            key,
+            CachedResult {
+                entries,
+                created_at: Instant::now(),
+            },
+        );
+    }
+
+    /// Execute the multi-stage retrieval pipeline.
+    pub async fn recall(
+        &self,
+        query: &str,
+        limit: usize,
+        session_id: Option<&str>,
+        namespace: Option<&str>,
+        since: Option<&str>,
+        until: Option<&str>,
+    ) -> anyhow::Result<Vec<MemoryEntry>> {
+        let ck = Self::cache_key(query, limit, session_id, namespace);
+
+        for stage in &self.config.stages {
+            match stage.as_str() {
+                "cache" => {
+                    if let Some(cached) = self.check_cache(&ck) {
+                        tracing::debug!("retrieval pipeline: cache hit for '{query}'");
+                        return Ok(cached);
+                    }
+                }
+                "fts" | "vector" => {
+                    // Both FTS and vector are handled by the backend's recall method
+                    // which already does hybrid merge. We delegate to it.
+                    let results = if let Some(ns) = namespace {
+                        self.memory
+                            .recall_namespaced(ns, query, limit, session_id, since, until)
+                            .await?
+                    } else {
+                        self.memory
+                            .recall(query, limit, session_id, since, until)
+                            .await?
+                    };
+
+                    if !results.is_empty() {
+                        // Check for FTS early-return: if top score exceeds threshold
+                        // and we're in the FTS stage, we can skip further stages
+                        if stage == "fts" {
+                            if let Some(top_score) = results.first().and_then(|e| e.score) {
+                                if top_score >= self.config.fts_early_return_score {
+                                    tracing::debug!(
+                                        "retrieval pipeline: FTS early return (score={top_score:.3})"
+                                    );
+                                    self.store_in_cache(ck, results.clone());
+                                    return Ok(results);
+                                }
+                            }
+                        }
+
+                        self.store_in_cache(ck, results.clone());
+                        return Ok(results);
+                    }
+                }
+                other => {
+                    tracing::warn!("retrieval pipeline: unknown stage '{other}', skipping");
+                }
+            }
+        }
+
+        // No results from any stage
+        Ok(Vec::new())
+    }
+
+    /// Invalidate the hot cache (e.g. after a store operation).
+    pub fn invalidate_cache(&self) {
+        self.hot_cache.lock().clear();
+    }
+
+    /// Get the number of entries in the hot cache.
+    pub fn cache_size(&self) -> usize {
+        self.hot_cache.lock().len()
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::memory::NoneMemory;
+
+    #[tokio::test]
+    async fn pipeline_returns_empty_from_none_backend() {
+        let memory = Arc::new(NoneMemory::new());
+        let pipeline = RetrievalPipeline::new(memory, RetrievalConfig::default());
+
+        let results = pipeline
+            .recall("test", 10, None, None, None, None)
+            .await
+            .unwrap();
+        assert!(results.is_empty());
+    }
+
+    #[tokio::test]
+    async fn pipeline_cache_invalidation() {
+        let memory = Arc::new(NoneMemory::new());
+        let pipeline = RetrievalPipeline::new(memory, RetrievalConfig::default());
+
+        // Force a cache entry
+        let ck = RetrievalPipeline::cache_key("test", 10, None, None);
+        pipeline.store_in_cache(ck, vec![]);
+
+        assert_eq!(pipeline.cache_size(), 1);
+        pipeline.invalidate_cache();
+        assert_eq!(pipeline.cache_size(), 0);
+    }
+
+    #[test]
+    fn cache_key_includes_all_params() {
+        let k1 = RetrievalPipeline::cache_key("hello", 10, Some("sess-a"), Some("ns1"));
+        let k2 = RetrievalPipeline::cache_key("hello", 10, Some("sess-b"), Some("ns1"));
+        let k3 = RetrievalPipeline::cache_key("hello", 10, Some("sess-a"), Some("ns2"));
+
+        assert_ne!(k1, k2);
+        assert_ne!(k1, k3);
+    }
+
+    #[tokio::test]
+    async fn pipeline_caches_results() {
+        let memory = Arc::new(NoneMemory::new());
+        let config = RetrievalConfig {
+            stages: vec!["cache".into()],
+            ..Default::default()
+        };
+        let pipeline = RetrievalPipeline::new(memory, config);
+
+        // First call: cache miss, no results
+        let results = pipeline
+            .recall("test", 10, None, None, None, None)
+            .await
+            .unwrap();
+        assert!(results.is_empty());
+
+        // Manually insert a cache entry
+        let ck = RetrievalPipeline::cache_key("cached_query", 5, None, None);
+        let fake_entry = MemoryEntry {
+            id: "1".into(),
+            key: "k".into(),
+            content: "cached content".into(),
+            category: crate::memory::MemoryCategory::Core,
+            timestamp: "now".into(),
+            session_id: None,
+            score: Some(0.9),
+            namespace: "default".into(),
+            importance: None,
+            superseded_by: None,
+        };
+        pipeline.store_in_cache(ck, vec![fake_entry]);
+
+        // Cache hit
+        let results = pipeline
+            .recall("cached_query", 5, None, None, None, None)
+            .await
+            .unwrap();
+        assert_eq!(results.len(), 1);
+        assert_eq!(results[0].content, "cached content");
+    }
+}

src/memory/sqlite.rs

@@ -197,17 +197,35 @@ impl SqliteMemory {
         )?;
 
         // Migration: add session_id column if not present (safe to run repeatedly)
-        let has_session_id: bool = conn
+        let schema_sql: String = conn
             .prepare("SELECT sql FROM sqlite_master WHERE type='table' AND name='memories'")?
-            .query_row([], |row| row.get::<_, String>(0))?
-            .contains("session_id");
-        if !has_session_id {
+            .query_row([], |row| row.get::<_, String>(0))?;
+
+        if !schema_sql.contains("session_id") {
             conn.execute_batch(
                 "ALTER TABLE memories ADD COLUMN session_id TEXT;
                  CREATE INDEX IF NOT EXISTS idx_memories_session ON memories(session_id);",
             )?;
         }
 
+        // Migration: add namespace column
+        if !schema_sql.contains("namespace") {
+            conn.execute_batch(
+                "ALTER TABLE memories ADD COLUMN namespace TEXT DEFAULT 'default';
+                 CREATE INDEX IF NOT EXISTS idx_memories_namespace ON memories(namespace);",
+            )?;
+        }
+
+        // Migration: add importance column
+        if !schema_sql.contains("importance") {
+            conn.execute_batch("ALTER TABLE memories ADD COLUMN importance REAL DEFAULT 0.5;")?;
+        }
+
+        // Migration: add superseded_by column
+        if !schema_sql.contains("superseded_by") {
+            conn.execute_batch("ALTER TABLE memories ADD COLUMN superseded_by TEXT;")?;
+        }
+
         Ok(())
     }
 
@@ -246,8 +264,13 @@ impl SqliteMemory {
         )
     }
 
+    /// Provide access to the connection for advanced queries (e.g. retrieval pipeline).
+    pub fn connection(&self) -> &Arc<Mutex<Connection>> {
+        &self.conn
+    }
+
     /// Get embedding from cache, or compute + cache it
-    async fn get_or_compute_embedding(&self, text: &str) -> anyhow::Result<Option<Vec<f32>>> {
+    pub async fn get_or_compute_embedding(&self, text: &str) -> anyhow::Result<Option<Vec<f32>>> {
         if self.embedder.dimensions() == 0 {
             return Ok(None); // Noop embedder
         }
@@ -310,7 +333,7 @@ impl SqliteMemory {
     }
 
     /// FTS5 BM25 keyword search
-    fn fts5_search(
+    pub fn fts5_search(
         conn: &Connection,
         query: &str,
         limit: usize,
@@ -356,7 +379,7 @@ impl SqliteMemory {
     ///
     /// Optional `category` and `session_id` filters reduce full-table scans
     /// when the caller already knows the scope of relevant memories.
-    fn vector_search(
+    pub fn vector_search(
         conn: &Connection,
         query_embedding: &[f32],
         limit: usize,
@@ -473,8 +496,8 @@ impl SqliteMemory {
             let until_ref = until_owned.as_deref();
 
             let mut sql =
-                "SELECT id, key, content, category, created_at, session_id FROM memories \
-                           WHERE 1=1"
+                "SELECT id, key, content, category, created_at, session_id, namespace, importance, superseded_by FROM memories \
+                           WHERE superseded_by IS NULL AND 1=1"
                     .to_string();
             let mut param_values: Vec<Box<dyn rusqlite::types::ToSql>> = Vec::new();
             let mut idx = 1;
@@ -510,6 +533,9 @@ impl SqliteMemory {
                     timestamp: row.get(4)?,
                     session_id: row.get(5)?,
                     score: None,
+                    namespace: row.get::<_, Option<String>>(6)?.unwrap_or_else(|| "default".into()),
+                    importance: row.get(7)?,
+                    superseded_by: row.get(8)?,
                 })
             })?;
 
@@ -554,8 +580,8 @@ impl Memory for SqliteMemory {
             let id = Uuid::new_v4().to_string();
 
             conn.execute(
-                "INSERT INTO memories (id, key, content, category, embedding, created_at, updated_at, session_id)
-                 VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8)
+                "INSERT INTO memories (id, key, content, category, embedding, created_at, updated_at, session_id, namespace, importance)
+                 VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, 'default', 0.5)
                  ON CONFLICT(key) DO UPDATE SET
                     content = excluded.content,
                     category = excluded.category,
@@ -641,8 +667,8 @@ impl Memory for SqliteMemory {
                     .collect::<Vec<_>>()
                     .join(", ");
                 let sql = format!(
-                    "SELECT id, key, content, category, created_at, session_id \
-                     FROM memories WHERE id IN ({placeholders})"
+                    "SELECT id, key, content, category, created_at, session_id, namespace, importance, superseded_by \
+                     FROM memories WHERE superseded_by IS NULL AND id IN ({placeholders})"
                 );
                 let mut stmt = conn.prepare(&sql)?;
                 let id_params: Vec<Box<dyn rusqlite::types::ToSql>> = merged
@@ -659,17 +685,20 @@ impl Memory for SqliteMemory {
                         row.get::<_, String>(3)?,
                         row.get::<_, String>(4)?,
                         row.get::<_, Option<String>>(5)?,
+                        row.get::<_, Option<String>>(6)?,
+                        row.get::<_, Option<f64>>(7)?,
+                        row.get::<_, Option<String>>(8)?,
                     ))
                 })?;
 
                 let mut entry_map = std::collections::HashMap::new();
                 for row in rows {
-                    let (id, key, content, cat, ts, sid) = row?;
-                    entry_map.insert(id, (key, content, cat, ts, sid));
+                    let (id, key, content, cat, ts, sid, ns, imp, sup) = row?;
+                    entry_map.insert(id, (key, content, cat, ts, sid, ns, imp, sup));
                 }
 
                 for scored in &merged {
-                    if let Some((key, content, cat, ts, sid)) = entry_map.remove(&scored.id) {
+                    if let Some((key, content, cat, ts, sid, ns, imp, sup)) = entry_map.remove(&scored.id) {
                         if let Some(s) = since_ref {
                             if ts.as_str() < s {
                                 continue;
@@ -688,6 +717,9 @@ impl Memory for SqliteMemory {
                             timestamp: ts,
                             session_id: sid,
                             score: Some(f64::from(scored.final_score)),
+                            namespace: ns.unwrap_or_else(|| "default".into()),
+                            importance: imp,
+                            superseded_by: sup,
                         };
                         if let Some(filter_sid) = session_ref {
                             if entry.session_id.as_deref() != Some(filter_sid) {
@@ -727,8 +759,8 @@ impl Memory for SqliteMemory {
                         param_idx += 1;
                     }
                     let sql = format!(
-                        "SELECT id, key, content, category, created_at, session_id FROM memories
-                         WHERE {where_clause}{time_conditions}
+                        "SELECT id, key, content, category, created_at, session_id, namespace, importance, superseded_by FROM memories
+                         WHERE superseded_by IS NULL AND ({where_clause}){time_conditions}
                          ORDER BY updated_at DESC
                          LIMIT ?{param_idx}"
                     );
@@ -757,6 +789,9 @@ impl Memory for SqliteMemory {
                             timestamp: row.get(4)?,
                             session_id: row.get(5)?,
                             score: Some(1.0),
+                            namespace: row.get::<_, Option<String>>(6)?.unwrap_or_else(|| "default".into()),
+                            importance: row.get(7)?,
+                            superseded_by: row.get(8)?,
                         })
                     })?;
                     for row in rows {
@@ -784,7 +819,7 @@ impl Memory for SqliteMemory {
         tokio::task::spawn_blocking(move || -> anyhow::Result<Option<MemoryEntry>> {
             let conn = conn.lock();
             let mut stmt = conn.prepare(
-                "SELECT id, key, content, category, created_at, session_id FROM memories WHERE key = ?1",
+                "SELECT id, key, content, category, created_at, session_id, namespace, importance, superseded_by FROM memories WHERE key = ?1",
             )?;
 
             let mut rows = stmt.query_map(params![key], |row| {
@@ -796,6 +831,9 @@ impl Memory for SqliteMemory {
                     timestamp: row.get(4)?,
                     session_id: row.get(5)?,
                     score: None,
+                    namespace: row.get::<_, Option<String>>(6)?.unwrap_or_else(|| "default".into()),
+                    importance: row.get(7)?,
+                    superseded_by: row.get(8)?,
                 })
             })?;
 
@@ -832,14 +870,17 @@ impl Memory for SqliteMemory {
                     timestamp: row.get(4)?,
                     session_id: row.get(5)?,
                     score: None,
+                    namespace: row.get::<_, Option<String>>(6)?.unwrap_or_else(|| "default".into()),
+                    importance: row.get(7)?,
+                    superseded_by: row.get(8)?,
                 })
             };
 
             if let Some(ref cat) = category {
                 let cat_str = Self::category_to_str(cat);
                 let mut stmt = conn.prepare(
-                    "SELECT id, key, content, category, created_at, session_id FROM memories
-                     WHERE category = ?1 ORDER BY updated_at DESC LIMIT ?2",
+                    "SELECT id, key, content, category, created_at, session_id, namespace, importance, superseded_by FROM memories
+                     WHERE superseded_by IS NULL AND category = ?1 ORDER BY updated_at DESC LIMIT ?2",
                 )?;
                 let rows = stmt.query_map(params![cat_str, DEFAULT_LIST_LIMIT], row_mapper)?;
                 for row in rows {
@@ -853,8 +894,8 @@ impl Memory for SqliteMemory {
                 }
             } else {
                 let mut stmt = conn.prepare(
-                    "SELECT id, key, content, category, created_at, session_id FROM memories
-                     ORDER BY updated_at DESC LIMIT ?1",
+                    "SELECT id, key, content, category, created_at, session_id, namespace, importance, superseded_by FROM memories
+                     WHERE superseded_by IS NULL ORDER BY updated_at DESC LIMIT ?1",
                 )?;
                 let rows = stmt.query_map(params![DEFAULT_LIST_LIMIT], row_mapper)?;
                 for row in rows {
@@ -904,6 +945,71 @@ impl Memory for SqliteMemory {
             .await
             .unwrap_or(false)
     }
+
+    async fn recall_namespaced(
+        &self,
+        namespace: &str,
+        query: &str,
+        limit: usize,
+        session_id: Option<&str>,
+        since: Option<&str>,
+        until: Option<&str>,
+    ) -> anyhow::Result<Vec<MemoryEntry>> {
+        let entries = self
+            .recall(query, limit * 2, session_id, since, until)
+            .await?;
+        let filtered: Vec<MemoryEntry> = entries
+            .into_iter()
+            .filter(|e| e.namespace == namespace)
+            .take(limit)
+            .collect();
+        Ok(filtered)
+    }
+
+    async fn store_with_metadata(
+        &self,
+        key: &str,
+        content: &str,
+        category: MemoryCategory,
+        session_id: Option<&str>,
+        namespace: Option<&str>,
+        importance: Option<f64>,
+    ) -> anyhow::Result<()> {
+        let embedding_bytes = self
+            .get_or_compute_embedding(content)
+            .await?
+            .map(|emb| vector::vec_to_bytes(&emb));
+
+        let conn = self.conn.clone();
+        let key = key.to_string();
+        let content = content.to_string();
+        let sid = session_id.map(String::from);
+        let ns = namespace.unwrap_or("default").to_string();
+        let imp = importance.unwrap_or(0.5);
+
+        tokio::task::spawn_blocking(move || -> anyhow::Result<()> {
+            let conn = conn.lock();
+            let now = Local::now().to_rfc3339();
+            let cat = Self::category_to_str(&category);
+            let id = Uuid::new_v4().to_string();
+
+            conn.execute(
+                "INSERT INTO memories (id, key, content, category, embedding, created_at, updated_at, session_id, namespace, importance)
+                 VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9, ?10)
+                 ON CONFLICT(key) DO UPDATE SET
+                    content = excluded.content,
+                    category = excluded.category,
+                    embedding = excluded.embedding,
+                    updated_at = excluded.updated_at,
+                    session_id = excluded.session_id,
+                    namespace = excluded.namespace,
+                    importance = excluded.importance",
+                params![id, key, content, cat, embedding_bytes, now, now, sid, ns, imp],
+            )?;
+            Ok(())
+        })
+        .await?
+    }
 }
 
 #[cfg(test)]

src/memory/traits.rs

@@ -4,7 +4,7 @@ use serde::{Deserialize, Serialize};
 /// A single message in a conversation trace for procedural memory.
 ///
 /// Used to capture "how to" patterns from tool-calling turns so that
-/// backends that support procedural storage (e.g. mem0) can learn from them.
+/// backends that support procedural storage can learn from them.
 #[derive(Clone, Debug, Serialize, Deserialize)]
 pub struct ProceduralMessage {
     pub role: String,
@@ -23,6 +23,19 @@ pub struct MemoryEntry {
     pub timestamp: String,
     pub session_id: Option<String>,
     pub score: Option<f64>,
+    /// Namespace for isolation between agents/contexts.
+    #[serde(default = "default_namespace")]
+    pub namespace: String,
+    /// Importance score (0.0–1.0) for prioritized retrieval.
+    #[serde(default)]
+    pub importance: Option<f64>,
+    /// If this entry was superseded by a newer conflicting entry.
+    #[serde(default)]
+    pub superseded_by: Option<String>,
+}
+
+fn default_namespace() -> String {
+    "default".into()
 }
 
 impl std::fmt::Debug for MemoryEntry {
@@ -34,6 +47,8 @@ impl std::fmt::Debug for MemoryEntry {
             .field("category", &self.category)
             .field("timestamp", &self.timestamp)
             .field("score", &self.score)
+            .field("namespace", &self.namespace)
+            .field("importance", &self.importance)
             .finish_non_exhaustive()
     }
 }
@@ -128,7 +143,7 @@ pub trait Memory: Send + Sync {
 
     /// Store a conversation trace as procedural memory.
     ///
-    /// Backends that support procedural storage (e.g. mem0) override this
+    /// Backends that support procedural storage override this
     /// to extract "how to" patterns from tool-calling turns.  The default
     /// implementation is a no-op.
     async fn store_procedural(
@@ -138,6 +153,46 @@ pub trait Memory: Send + Sync {
     ) -> anyhow::Result<()> {
         Ok(())
     }
+
+    /// Recall memories scoped to a specific namespace.
+    ///
+    /// Default implementation delegates to `recall()` and filters by namespace.
+    /// Backends with native namespace support should override for efficiency.
+    async fn recall_namespaced(
+        &self,
+        namespace: &str,
+        query: &str,
+        limit: usize,
+        session_id: Option<&str>,
+        since: Option<&str>,
+        until: Option<&str>,
+    ) -> anyhow::Result<Vec<MemoryEntry>> {
+        let entries = self
+            .recall(query, limit * 2, session_id, since, until)
+            .await?;
+        let filtered: Vec<MemoryEntry> = entries
+            .into_iter()
+            .filter(|e| e.namespace == namespace)
+            .take(limit)
+            .collect();
+        Ok(filtered)
+    }
+
+    /// Store a memory entry with namespace and importance.
+    ///
+    /// Default implementation delegates to `store()`. Backends with native
+    /// namespace/importance support should override.
+    async fn store_with_metadata(
+        &self,
+        key: &str,
+        content: &str,
+        category: MemoryCategory,
+        session_id: Option<&str>,
+        _namespace: Option<&str>,
+        _importance: Option<f64>,
+    ) -> anyhow::Result<()> {
+        self.store(key, content, category, session_id).await
+    }
 }
 
 #[cfg(test)]
@@ -185,6 +240,9 @@ mod tests {
             timestamp: "2026-02-16T00:00:00Z".into(),
             session_id: Some("session-abc".into()),
             score: Some(0.98),
+            namespace: "default".into(),
+            importance: Some(0.7),
+            superseded_by: None,
         };
 
         let json = serde_json::to_string(&entry).unwrap();
@@ -196,5 +254,8 @@ mod tests {
         assert_eq!(parsed.category, MemoryCategory::Core);
         assert_eq!(parsed.session_id.as_deref(), Some("session-abc"));
         assert_eq!(parsed.score, Some(0.98));
+        assert_eq!(parsed.namespace, "default");
+        assert_eq!(parsed.importance, Some(0.7));
+        assert!(parsed.superseded_by.is_none());
     }
 }

src/memory/vector.rs

@@ -126,6 +126,7 @@ pub fn hybrid_merge(
         b.final_score
             .partial_cmp(&a.final_score)
             .unwrap_or(std::cmp::Ordering::Equal)
+            .then_with(|| a.id.cmp(&b.id))
     });
     results.truncate(limit);
     results

src/onboard/wizard.rs

@@ -420,9 +420,17 @@ fn memory_config_defaults_for_backend(backend: &str) -> MemoryConfig {
         snapshot_enabled: false,
         snapshot_on_hygiene: false,
         auto_hydrate: true,
+        retrieval_stages: vec!["cache".into(), "fts".into(), "vector".into()],
+        rerank_enabled: false,
+        rerank_threshold: 5,
+        fts_early_return_score: 0.85,
+        default_namespace: "default".into(),
+        conflict_threshold: 0.85,
+        audit_enabled: false,
+        audit_retention_days: 30,
+        policy: crate::config::MemoryPolicyConfig::default(),
         sqlite_open_timeout_secs: None,
         qdrant: crate::config::QdrantConfig::default(),
-        mem0: crate::config::schema::Mem0Config::default(),
     }
 }
 

src/providers/openai_codex.rs

@@ -767,6 +767,12 @@ impl Provider for OpenAiCodexProvider {
 #[cfg(test)]
 mod tests {
     use super::*;
+    use std::sync::Mutex;
+
+    /// Mutex that serializes all tests which mutate process-global env vars
+    /// (`std::env::set_var` / `remove_var`).  Each such test must hold this
+    /// lock for its entire duration so that parallel test threads don't race.
+    static ENV_MUTEX: Mutex<()> = Mutex::new(());
 
     struct EnvGuard {
         key: &'static str,
@@ -841,6 +847,7 @@ mod tests {
 
     #[test]
     fn resolve_responses_url_prefers_explicit_endpoint_env() {
+        let _lock = ENV_MUTEX.lock().unwrap_or_else(|e| e.into_inner());
         let _endpoint_guard = EnvGuard::set(
             CODEX_RESPONSES_URL_ENV,
             Some("https://env.example.com/v1/responses"),
@@ -856,6 +863,7 @@ mod tests {
 
     #[test]
     fn resolve_responses_url_uses_provider_api_url_override() {
+        let _lock = ENV_MUTEX.lock().unwrap_or_else(|e| e.into_inner());
         let _endpoint_guard = EnvGuard::set(CODEX_RESPONSES_URL_ENV, None);
         let _base_guard = EnvGuard::set(CODEX_BASE_URL_ENV, None);
 
@@ -959,6 +967,7 @@ mod tests {
 
     #[test]
     fn resolve_reasoning_effort_prefers_configured_override() {
+        let _lock = ENV_MUTEX.lock().unwrap_or_else(|e| e.into_inner());
         let _guard = EnvGuard::set("ZEROCLAW_CODEX_REASONING_EFFORT", Some("low"));
         assert_eq!(
             resolve_reasoning_effort("gpt-5-codex", Some("high")),
@@ -968,6 +977,7 @@ mod tests {
 
     #[test]
     fn resolve_reasoning_effort_uses_legacy_env_when_unconfigured() {
+        let _lock = ENV_MUTEX.lock().unwrap_or_else(|e| e.into_inner());
         let _guard = EnvGuard::set("ZEROCLAW_CODEX_REASONING_EFFORT", Some("minimal"));
         assert_eq!(
             resolve_reasoning_effort("gpt-5-codex", None),

src/service/mod.rs

@@ -1236,7 +1236,7 @@ mod tests {
     #[cfg(not(target_os = "windows"))]
     #[test]
     fn run_capture_reads_stdout() {
-        let out = run_capture(Command::new("sh").args(["-lc", "echo hello"]))
+        let out = run_capture(Command::new("sh").args(["-c", "echo hello"]))
             .expect("stdout capture should succeed");
         assert_eq!(out.trim(), "hello");
     }
@@ -1244,7 +1244,7 @@ mod tests {
     #[cfg(not(target_os = "windows"))]
     #[test]
     fn run_capture_falls_back_to_stderr() {
-        let out = run_capture(Command::new("sh").args(["-lc", "echo warn 1>&2"]))
+        let out = run_capture(Command::new("sh").args(["-c", "echo warn 1>&2"]))
             .expect("stderr capture should succeed");
         assert_eq!(out.trim(), "warn");
     }
@@ -1252,7 +1252,7 @@ mod tests {
     #[cfg(not(target_os = "windows"))]
     #[test]
     fn run_checked_errors_on_non_zero_status() {
-        let err = run_checked(Command::new("sh").args(["-lc", "exit 17"]))
+        let err = run_checked(Command::new("sh").args(["-c", "exit 17"]))
             .expect_err("non-zero exit should error");
         assert!(err.to_string().contains("Command failed"));
     }

tool_descriptions/th.toml

@@ -0,0 +1,62 @@
+# คำอธิบายเครื่องมือภาษาไทย (Thai tool descriptions)
+#
+# แต่ละคีย์ภายใต้ [tools] จะตรงกับค่าที่ส่งกลับจาก name() ของเครื่องมือ
+# ค่าคือคำอธิบายที่มนุษย์อ่านได้ซึ่งจะแสดงใน system prompts
+
+[tools]
+backup = "สร้าง, ลิสต์, ตรวจสอบ และกู้คืนข้อมูลสำรองของเวิร์กสเปซ"
+browser = "การทำงานอัตโนมัติบนเว็บ/เบราว์เซอร์ด้วยแบ็คเอนด์ที่ถอดเปลี่ยนได้ (agent-browser, rust-native, computer_use) รองรับการดำเนินการ DOM และการดำเนินการระดับ OS (ย้ายเมาส์, คลิก, ลาก, พิมพ์คีย์, กดคีย์, จับภาพหน้าจอ) ผ่าน computer-use sidecar ใช้ 'snapshot' เพื่อจับคู่พารามิเตอร์โต้ตอบกับ refs (@e1, @e2) บังคับใช้ browser.allowed_domains สำหรับการเปิดหน้าเว็บ"
+browser_delegate = "มอบหมายงานที่ใช้เบราว์เซอร์ให้กับ CLI ที่มีความสามารถด้านเบราว์เซอร์เพื่อโต้ตอบกับเว็บแอปพลิเคชัน เช่น Teams, Outlook, Jira, Confluence"
+browser_open = "เปิด URL HTTPS ที่ได้รับอนุญาตในเบราว์เซอร์ของระบบ ข้อจำกัดด้านความปลอดภัย: เฉพาะโดเมนใน allowlist เท่านั้น, ห้ามโฮสต์โลคัล/ส่วนตัว, ห้ามดึงข้อมูล (scraping)"
+cloud_ops = "เครื่องมือให้คำปรึกษาด้านการเปลี่ยนแปลงคลาวด์ วิเคราะห์แผน IaC, ประเมินเส้นทางการย้ายระบบ, ตรวจสอบค่าใช้จ่าย และตรวจสอบสถาปัตยกรรมตามหลัก Well-Architected Framework อ่านอย่างเดียว: ไม่สร้างหรือแก้ไขทรัพยากรคลาวด์"
+cloud_patterns = "ไลบรารีรูปแบบคลาวด์ แนะนำรูปแบบสถาปัตยกรรม cloud-native ที่เหมาะสม (containerization, serverless, การปรับปรุงฐานข้อมูลให้ทันสมัย ฯลฯ) ตามคำอธิบายภาระงาน"
+composio = "รันคำสั่งบนแอปมากกว่า 1,000 แอปผ่าน Composio (Gmail, Notion, GitHub, Slack ฯลฯ) ใช้ action='list' เพื่อดูคำสั่งที่ใช้งานได้ ใช้ action='execute' พร้อม action_name/tool_slug และพารามิเตอร์เพื่อรันคำสั่ง หากไม่แน่ใจพารามิเตอร์ ให้ส่ง 'text' พร้อมคำอธิบายภาษาธรรมชาติแทน ใช้ action='list_accounts' เพื่อดูบัญชีที่เชื่อมต่อ และ action='connect' เพื่อรับ URL OAuth"
+content_search = "ค้นหาเนื้อหาไฟล์ด้วยรูปแบบ regex ภายในเวิร์กสเปซ รองรับ ripgrep (rg) พร้อมระบบสำรองเป็น grep โหมดเอาต์พุต: 'content' (บรรทัดที่ตรงกันพร้อมบริบท), 'files_with_matches' (เฉพาะเส้นทางไฟล์), 'count' (จำนวนที่พบต่อไฟล์) ตัวอย่าง: pattern='fn main', include='*.rs', output_mode='content'"
+cron_add = """สร้างงานตั้งเวลา cron (shell หรือ agent) รองรับตารางเวลาแบบ cron/at/every ใช้ job_type='agent' พร้อม prompt เพื่อรัน AI agent ตามกำหนดเวลา หากต้องการส่งเอาต์พุตไปยังแชนเนล (Discord, Telegram, Slack, Mattermost, Matrix) ให้ตั้งค่า delivery={"mode":"announce","channel":"discord","to":"<channel_id_or_chat_id>"} นี่เป็นเครื่องมือที่แนะนำสำหรับการส่งข้อความตั้งเวลาหรือหน่วงเวลาไปยังผู้ใช้ผ่านแชนเนล"""
+cron_list = "รายการงานตั้งเวลา cron ทั้งหมด"
+cron_remove = "ลบงานตั้งเวลาด้วย id"
+cron_run = "บังคับรันงานตั้งเวลาทันทีและบันทึกประวัติการรัน"
+cron_runs = "รายการประวัติการรันล่าสุดของงานตั้งเวลา"
+cron_update = "แก้ไขงานตั้งเวลาที่มีอยู่ (ตารางเวลา, คำสั่ง, prompt, การเปิดใช้งาน, การส่งข้อมูล, โมเดล ฯลฯ)"
+data_management = "การเก็บรักษาข้อมูลเวิร์กสเปซ, การล้างข้อมูล และสถิติการจัดเก็บ"
+delegate = "มอบหมายงานย่อยให้กับเอเจนต์เฉพาะทาง ใช้เมื่อ: งานจะได้รับประโยชน์จากโมเดลที่ต่างออกไป (เช่น สรุปผลเร็ว, การให้เหตุผลเชิงลึก, การสร้างโค้ด) เอเจนต์ย่อยจะรันหนึ่ง prompt ตามค่าเริ่มต้น หากตั้ง agentic=true จะสามารถทำงานวนซ้ำด้วยเครื่องมือที่จำกัดได้"
+discord_search = "ค้นหาประวัติข้อความ Discord ที่เก็บไว้ใน discord.db ใช้เพื่อค้นหาข้อความในอดีต, สรุปกิจกรรมในแชนเนล หรือดูว่าผู้ใช้พูดอะไร รองรับการค้นหาด้วยคีย์เวิร์ดและตัวกรองเสริม: channel_id, since, until"
+file_edit = "แก้ไขไฟล์โดยการแทนที่ข้อความที่ตรงกันเป๊ะๆ ด้วยเนื้อหาใหม่"
+file_read = "อ่านเนื้อหาไฟล์พร้อมเลขบรรทัด รองรับการอ่านบางส่วนผ่าน offset และ limit ดึงข้อความจาก PDF; ไฟล์ไบนารีอื่นจะถูกอ่านด้วยการแปลง UTF-8 แบบสูญเสียข้อมูล"
+file_write = "เขียนเนื้อหาลงในไฟล์ในเวิร์กสเปซ"
+git_operations = "รันคำสั่ง Git แบบโครงสร้าง (status, diff, log, branch, commit, add, checkout, stash) ให้เอาต์พุต JSON ที่แยกส่วนแล้ว และรวมเข้ากับนโยบายความปลอดภัยสำหรับการควบคุมตนเอง"
+glob_search = "ค้นหาไฟล์ที่ตรงกับรูปแบบ glob ภายในเวิร์กสเปซ ส่งกลับรายการเส้นทางไฟล์ที่ตรงกันเทียบกับรูทของเวิร์กสเปซ ตัวอย่าง: '**/*.rs' (ไฟล์ Rust ทั้งหมด), 'src/**/mod.rs' (mod.rs ทั้งหมดใน src)"
+google_workspace = "โต้ตอบกับบริการ Google Workspace (Drive, Gmail, Calendar, Sheets, Docs ฯลฯ) ผ่าน gws CLI ต้องติดตั้งและยืนยันตัวตน gws ก่อน"
+hardware_board_info = "ส่งกลับข้อมูลบอร์ดฉบับเต็ม (ชิป, สถาปัตยกรรม, แผนผังหน่วยความจำ) สำหรับฮาร์ดแวร์ที่เชื่อมต่อ ใช้เมื่อ: ผู้ใช้ถามเกี่ยวกับ 'board info', 'ใช้บอร์ดอะไร', 'ฮาร์ดแวร์ที่ต่ออยู่', 'ข้อมูลชิป' หรือ 'memory map'"
+hardware_memory_map = "ส่งกลับแผนผังหน่วยความจำ (ช่วงที่อยู่ flash และ RAM) สำหรับฮาร์ดแวร์ที่เชื่อมต่อ ใช้เมื่อ: ผู้ใช้ถามเกี่ยวกับ 'upper and lower memory addresses', 'แผนผังหน่วยความจำ' หรือ 'ที่อยู่ที่อ่านได้'"
+hardware_memory_read = "อ่านค่าหน่วยความจำ/รีจิสเตอร์จริงจาก Nucleo ผ่าน USB ใช้เมื่อ: ผู้ใช้ถามให้ 'อ่านค่ารีจิสเตอร์', 'อ่านหน่วยความจำที่แอดเดรส', 'dump memory' ส่งกลับเป็น hex dump ต้องเชื่อมต่อ Nucleo ผ่าน USB พารามิเตอร์: address (hex), length (bytes)"
+http_request = "ส่งคำขอ HTTP ไปยัง API ภายนอก รองรับเมธอด GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS ข้อจำกัดด้านความปลอดภัย: เฉพาะโดเมนใน allowlist เท่านั้น, ห้ามโฮสต์โลคัล/ส่วนตัว, ตั้งค่า timeout และจำกัดขนาดการตอบกลับได้"
+image_info = "อ่านข้อมูลเมตาของไฟล์รูปภาพ (รูปแบบ, ขนาดกว้างยาว, ขนาดไฟล์) และสามารถเลือกส่งกลับข้อมูลที่เข้ารหัส base64 ได้"
+jira = "โต้ตอบกับ Jira: ดึงตั๋วตามระดับรายละเอียดที่กำหนด, ค้นหา issue ด้วย JQL และเพิ่มคอมเมนต์พร้อมรองรับการกล่าวถึง (mention) และการจัดรูปแบบ"
+knowledge = "จัดการกราฟความรู้ของการตัดสินใจด้านสถาปัตยกรรม, รูปแบบโซลูชัน, บทเรียนที่ได้รับ และผู้เชี่ยวชาญ การดำเนินการ: capture, search, relate, suggest, expert_find, lessons_extract, graph_stats"
+linkedin = "จัดการ LinkedIn: สร้างโพสต์, รายการโพสต์ของคุณ, คอมเมนต์, แสดงความรู้สึก, ลบโพสต์, ดูการมีส่วนร่วม, ดูข้อมูลโปรไฟล์ และอ่านกลยุทธ์เนื้อหาที่กำหนดไว้ ต้องมีข้อมูลยืนยันตัวตน LINKEDIN_* ในไฟล์ .env"
+memory_forget = "ลบความจำด้วยคีย์ ใช้เพื่อลบข้อมูลที่ล้าสมัยหรือข้อมูลที่ละเอียดอ่อน ส่งกลับว่าพบและลบความจำหรือไม่"
+memory_recall = "ค้นหาความจำระยะยาวสำหรับข้อเท็จจริง ความชอบ หรือบริบทที่เกี่ยวข้อง ส่งกลับผลลัพธ์ที่จัดอันดับตามความเกี่ยวข้อง"
+memory_store = "เก็บข้อเท็จจริง ความชอบ หรือบันทึกลงในความจำระยะยาว ใช้หมวดหมู่ 'core' สำหรับข้อมูลถาวร, 'daily' สำหรับบันทึกเซสชัน, 'conversation' สำหรับบริบทการแชท หรือชื่อหมวดหมู่ที่กำหนดเอง"
+microsoft365 = "การรวมเข้ากับ Microsoft 365: จัดการอีเมล Outlook, ข้อความ Teams, กิจกรรมปฏิทิน, ไฟล์ OneDrive และการค้นหา SharePoint ผ่าน Microsoft Graph API"
+model_routing_config = "จัดการการตั้งค่าโมเดลเริ่มต้น, เส้นทางผู้ให้บริการ/โมเดลตามสถานการณ์, กฎการจำแนกประเภท และโปรไฟล์เอเจนต์ย่อย"
+notion = "โต้ตอบกับ Notion: สอบถามฐานข้อมูล, อ่าน/สร้าง/อัปเดตหน้า และค้นหาในเวิร์กสเปซ"
+pdf_read = "ดึงข้อความธรรมดาจากไฟล์ PDF ในเวิร์กสเปซ ส่งกลับข้อความที่อ่านได้ทั้งหมด ไฟล์ PDF ที่มีแต่รูปภาพหรือเข้ารหัสจะส่งกลับผลลัพธ์ที่ว่างเปล่า ต้องเปิดฟีเจอร์ 'rag-pdf' ตอน build"
+project_intel = "ข้อมูลอัจฉริยะในการส่งมอบโปรเจกต์: สร้างรายงานสถานะ, ตรวจจับความเสี่ยง, ร่างการอัปเดตสำหรับลูกค้า, สรุป sprint และประเมินพยายาม เป็นเครื่องมือวิเคราะห์แบบอ่านอย่างเดียว"
+proxy_config = "จัดการการตั้งค่าพร็อกซีของ ZeroClaw (ขอบเขต: environment | zeroclaw | services) รวมถึงการปรับใช้ในขณะรันและใน process environment"
+pushover = "ส่งการแจ้งเตือน Pushover ไปยังอุปกรณ์ของคุณ ต้องมี PUSHOVER_TOKEN และ PUSHOVER_USER_KEY ในไฟล์ .env"
+schedule = """จัดการงาน shell ที่ตั้งเวลาไว้ การดำเนินการ: create/add/once/list/get/cancel/remove/pause/resume คำเตือน: เครื่องมือนี้สร้างงาน shell ที่เอาต์พุตจะถูกบันทึกใน log เท่านั้น ไม่ส่งไปยังแชนเนลใดๆ หากต้องการส่งข้อความตั้งเวลาไปยัง Discord/Telegram/Slack/Matrix ให้ใช้เครื่องมือ cron_add"""
+screenshot = "จับภาพหน้าจอปัจจุบัน ส่งกลับเส้นทางไฟล์และข้อมูล PNG ที่เข้ารหัส base64"
+security_ops = "เครื่องมือปฏิบัติการด้านความปลอดภัยสำหรับบริการจัดการความปลอดภัยไซเบอร์ การดำเนินการ: triage_alert, run_playbook, parse_vulnerability, generate_report, list_playbooks, alert_stats"
+shell = "รันคำสั่ง shell ในไดเรกทอรีรูทของเวิร์กสเปซ"
+sop_advance = "รายงานผลลัพธ์ของขั้นตอน SOP ปัจจุบันและไปยังขั้นตอนถัดไป ระบุ run_id, ขั้นตอนสำเร็จหรือล้มเหลว และสรุปเอาต์พุตสั้นๆ"
+sop_approve = "อนุมัติขั้นตอน SOP ที่รอการอนุมัติจากผู้ปฏิบัติงาน ส่งกลับคำสั่งในขั้นตอนที่จะดำเนินการ ใช้ sop_status เพื่อดูว่ามีรายการใดรอยู่"
+sop_execute = "สั่งรันขั้นตอนการปฏิบัติงานมาตรฐาน (SOP) ด้วยชื่อด้วยตนเอง ส่งกลับ run ID และคำสั่งขั้นตอนแรก ใช้ sop_list เพื่อดู SOP ที่มี"
+sop_list = "รายการขั้นตอนการปฏิบัติงานมาตรฐาน (SOP) ทั้งหมดที่โหลดไว้ พร้อมเงื่อนไขการรัน, ลำดับความสำคัญ, จำนวนขั้นตอน และจำนวนการรันที่ใช้งานอยู่"
+sop_status = "สอบถามสถานะการรัน SOP ระบุ run_id สำหรับการรันเฉพาะ หรือ sop_name สำหรับรายการการรันของ SOP นั้น หากไม่มีพารามิเตอร์จะแสดงการรันที่ใช้งานอยู่ทั้งหมด"
+swarm = "ประสานงานกลุ่มเอเจนต์เพื่อทำงานร่วมกัน รองรับกลยุทธ์แบบลำดับ (pipeline), แบบขนาน (fan-out/fan-in) และแบบเราเตอร์ (เลือกโดย LLM)"
+tool_search = """ดึงข้อมูลโครงสร้าง schema ฉบับเต็มสำหรับเครื่องมือ MCP ที่โหลดแบบหน่วงเวลา (deferred) เพื่อให้สามารถเรียกใช้งานได้ ใช้ "select:name1,name2" สำหรับการจับคู่ที่แน่นอนหรือใช้คีย์เวิร์ดเพื่อค้นหา"""
+weather = "ดึงข้อมูลสภาพอากาศปัจจุบันและพยากรณ์อากาศสำหรับสถานที่ใดก็ได้ทั่วโลก รองรับชื่อเมือง (ในภาษาหรือตัวอักษรใดก็ได้), รหัสสนามบิน IATA, พิกัด GPS, รหัสไปรษณีย์ และการระบุตำแหน่งตามโดเมน ส่งกลับอุณหภูมิ, ความรู้สึกจริง, ความชื้น, ความเร็ว/ทิศทางลม, ปริมาณน้ำฝน, ทัศนวิสัย, ความกดอากาศ, ดัชนี UV และเมฆปกคลุม เลือกพยากรณ์อากาศได้ 0–3 วัน หน่วยเริ่มต้นเป็นเมตริก (°C, km/h, mm) แต่สามารถตั้งเป็นอิมพีเรียลได้ ไม่ต้องใช้คีย์ API"
+web_fetch = "ดึงข้อมูลหน้าเว็บและส่งกลับเนื้อหาเป็นข้อความธรรมดาที่สะอาด หน้า HTML จะถูกแปลงเป็นข้อความที่อ่านได้โดยอัตมัติ คำตอบที่เป็น JSON และข้อความธรรมดาจะถูกส่งกลับตามเดิม เฉพาะคำขอ GET เท่านั้น ปฏิบัติตามการเปลี่ยนเส้นทาง ความปลอดภัย: เฉพาะโดเมนใน allowlist เท่านั้น ห้ามโฮสต์โลคัล/ส่วนตัว"
+web_search_tool = "ค้นหาข้อมูลบนเว็บ ส่งกลับผลลัพธ์การค้นหาที่เกี่ยวข้องพร้อมชื่อเรื่อง, URL และคำอธิบาย ใช้เพื่อค้นหาข้อมูลปัจจุบัน ข่าวสาร หรือหัวข้อการวิจัย"
+workspace = "จัดการเวิร์กสเปซแบบหลายไคลเอนต์ คำสั่งย่อย: list, switch, create, info, export แต่ละเวิร์กสเปซจะมีการแยกหน่วยความจำ, การตรวจสอบ, ความลับ และข้อจำกัดเครื่องมือออกจากกัน"

web/src/pages/Tools.tsx

@@ -6,7 +6,6 @@ import {
   ChevronRight,
   Terminal,
   Package,
-  ChevronsUpDown,
 } from 'lucide-react';
 import type { ToolSpec, CliTool } from '@/types/api';
 import { getTools, getCliTools } from '@/lib/api';