Overview
- Skill Key
- gianni-dalerta/memory-tools
- Author
- gianni-dalerta
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/gianni-dalerta/memory-tools
- Latest Commit SHA
- 6aa0f15b91838fd8d5a9ab516240601a06077df2
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).
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 memory-tools 技能。 若已安装,则直接安装 memory-tools 技能。
# 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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