bambu-studio-ai
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Agent-controlled memory plugin for OpenClaw with confidence scoring, decay, and semantic search. The agent decides WHEN to store/retrieve memories — no auto-capture noise. v2 uses file-based storage with optional QMD search (no external APIs required).
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install gianni-dalerta/memory-toolsExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Agent-controlled persistent memory for OpenClaw.
Traditional memory systems auto-capture everything, flooding context with irrelevant information. Memory Tools follows the AgeMem approach: the agent decides when to store and retrieve memories.
memory_store, memory_update, memory_forget, memory_search, memory_summarize, memory_list
clawhub install memory-tools
cd skills/memory-tools
npm install
npm run build
openclaw plugins install --link .
openclaw plugins enable memory-tools
openclaw gateway restart
npm install -g @tobilu/qmd
Without QMD, basic filtering works. With QMD, you get semantic search (BM25 + vector + reranking).
NODE_MODULE_VERSION mismatch), memory-tools falls back to basic mode.MEMORY_TOOLS_DISABLE_QMD=true.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Agent-controlled memory plugin for OpenClaw with confidence scoring, decay, and semantic search.
Traditional AI memory systems auto-capture everything, flooding context with irrelevant information. Memory-as-Tools follows the AgeMem approach: the agent decides when to store and retrieve memories.
Traditional: Agent -> always retrieves -> context flooded
Memory-as-Tools: Agent -> decides IF/WHAT to remember -> uses tools explicitly
memory_store, memory_update, memory_forget, memory_search, memory_summarize, memory_list
clawhub install memory-tools
cd skills/memory-tools
npm install
npm run build
openclaw plugins install --link .
openclaw plugins enable memory-tools
# Memory Tools v2 Agent-controlled persistent memory for OpenClaw. ## What's New in v2 - **File-based storage** — Memories stored as readable markdown files - **No external APIs** — No OpenAI dependency, everything runs locally - **QMD search (optional)** — BM25 + vector + reranking via local GGUF models - **Auto-migration** — Seamlessly upgrades from v1 SQLite/LanceDB storage ## Why Memory-as-Tools? Traditional memory systems auto-capture everything, flooding context with irrelevant information. Memory Tools follows the [AgeMem](https://arxiv.org/abs/2409.02634) approach: **the agent decides** when to store and retrieve memories. ## Features - **6 Memory Tools**: `memory_store`, `memory_update`, `memory_forget`, `memory_search`, `memory_summarize`, `memory_list` - **Confidence Scoring**: Track how certain you are (1.0 = explicit, 0.5 = inferred) - **Importance Scoring**: Prioritize critical instructions over nice-to-know facts - **Decay/Expiration**: Temporal memories automatically become stale - **Human-readable storage**: Markdown files with YAML frontmatter - **Conflict Resolution**: New info auto-supersedes old (no contradictions) ## Installation ### Step 1: Install from ClawHub ```bash clawhub install memory-tools ``` ### Step 2: Build the plugin ```bash cd skills/memory-tools npm install npm run build ``` ### Step 3: Activate the plugin ```bash openclaw plugins install --link . openclaw plugins enable memory-tools ``` ### Step 4: Restart the gateway ```bash openclaw gateway restart ``` ### Optional: Install QMD for better search ```bash npm install -g @tobilu/qmd ``` Without QMD, basic filtering works. With QMD, you get semantic search (BM25 + vector + reranking). ### Node Compatibility (QMD) - QMD may not be compatible with the newest Node ABI immediately. - If QMD fails (for example `NODE_MODULE_VERSION` mismatch), memory-tools falls back to basic mode. - To force basic mode: `MEMORY_TOOLS_DISABLE_QMD=true`. - For best QMD stability, us...
<p align="center"> <img src="header.png" alt="memory-tools" width="100%"> </p> # OpenClaw Memory Tools v2 Agent-controlled memory plugin for OpenClaw with confidence scoring, decay, and semantic search. ## What's New in v2 - **File-based storage** - Memories stored as readable markdown files - **No external APIs** - No OpenAI dependency, everything runs locally - **QMD search (optional)** - BM25 + vector + reranking via local GGUF models - **Auto-migration** - Seamlessly upgrades from v1 SQLite/LanceDB storage ## Why Memory-as-Tools? Traditional AI memory systems auto-capture everything, flooding context with irrelevant information. **Memory-as-Tools** follows the [AgeMem](https://arxiv.org/abs/2409.02634) approach: the agent decides **when** to store and retrieve memories. ``` Traditional: Agent -> always retrieves -> context flooded Memory-as-Tools: Agent -> decides IF/WHAT to remember -> uses tools explicitly ``` ## Features - **6 Memory Tools**: `memory_store`, `memory_update`, `memory_forget`, `memory_search`, `memory_summarize`, `memory_list` - **Confidence Scoring**: Track how certain you are about each memory (1.0 = explicit, 0.5 = inferred) - **Importance Scoring**: Prioritize critical instructions over nice-to-know facts - **Decay/Expiration**: Temporal memories (events) automatically become stale - **Human-readable storage**: Markdown files with YAML frontmatter - **Semantic Search**: Optional QMD-powered hybrid search (BM25 + vector + reranking) - **Zero External Dependencies**: Everything runs locally, no API keys needed - **Standing Instructions**: Auto-inject category="instruction" memories at conversation start ## Installation ### Step 1: Install from ClawHub ```bash clawhub install memory-tools ``` ### Step 2: Build the plugin ```bash cd skills/memory-tools npm install npm run build ``` ### Step 3: Activate the plugin ```bash openclaw plugins install --link . openclaw plugins enable memory-tools ``` ### Step 4: Restart the gateway...
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