Local-first memory search and indexing for Openclaw. Use when you need to (1) index memory files, (2) search memory from the CLI, or (3) wire a slash command for memory lookup.
Personal knowledge base for capturing and retrieving information about people, places, restaurants, games, tech, events, media, ideas, and organizations. Use...
Performs fast local semantic search on OpenClaw memory files using TF-IDF without external dependencies or APIs.
Cultivate aesthetic judgment through conversation and memory. Build and maintain TASTES.md — the missing layer between SOUL.md and SKILL.md.
Structured task snapshot and automatic post-compaction recovery. Captures exact code, decisions, file paths, and task state before context compaction and rec...
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
Search and retrieve relevant information from your indexed memory files using semantic queries and direct file reads for context.
为 OpenClaw Markdown 记忆文件添加向量驱动的语义搜索。使用 memsearch 库，支持混合搜索（稠密向量 + BM25），SHA-256 智能去重，本地 embedding 无需 API Key。
Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No s
Store and retrieve semantic memories using advanced vector search and intelligence-driven insight extraction. Organize knowledge across projects with secure access controls and comprehensive system he
--- name: reclaw description: "Use when accessing memory, recording information, searching prior context, or managing subjects." read_when: - You need to find something from a previous session - Y
Kimi (Moonshot AI) agent tool-use policy ported to OpenClaw. Covers step limits, web search, image search, data sources, ipython, memory, content display, an...
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to rec
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persi...
A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation.
Stores and retrieves personal preferences, decisions, and context across conversations using ActingWeb Personal AI Memory via MCP. Activates when the user me...
Store and retrieve memories using the SuperMemory API. Add content, search memories, and chat with your knowledge base.
Enables local hybrid memory search and embedding using QMD to reduce API costs by $50-300/month with automatic setup, smart indexing, and multi-agent sharing.
Use Notnative MCP server for complete AI assistant integration with notes, calendar, tasks, Python, canvas, and permanent memory. This skill provides persist...
Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Re
Enables local hybrid memory search using QMD with optimized collections, automatic indexing, and multi-agent sharing to reduce API costs by $50-300/month.
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure m...
AI Agent memory search using SQLite FTS5. 90%+ token reduction (10x+) compared to reading full files. Use when the agent needs to search through markdown mem...
--- name: mem description: Search local memory index (local-first). Use for /mem queries in Telegram. user-invocable: true --- # Memory Search (/mem) ## Overview Run local-first memory search using