Performs fast local semantic search on OpenClaw memory files using TF-IDF without external dependencies or APIs.
OpenClaw Memory-OS - Digital immortality service and cognitive continuity infrastructure for personal memory management
Personal knowledge base with pgvector semantic search for AI agents. Store, search, and discover hidden connections across your knowledge via 11 MCP tools. F...
Find and retrieve available skills using keyword search, semantic search, or LLM-powered task matching. Use when the agent needs to discover, search, or inte...
Advanced Qdrant vector database operations for AI agents. Semantic search, contextual document ingestion with chunking, collection management, snapshots, and...
A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation.
AgentOS SDK provides APIs and CLI tools for persistent AI agent memory, project and task management, activity logging, inter-agent communication, and self-ev...
Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector database
Hybrid semantic search over 125k+ AI agent posts from moltbook.com with faceted filtering
Research ecommerce categories on Reddit to find opportunity areas (pain points) and trending products using semantic AI search via reddit-insights.com MCP se...
Local, crash-safe persistent memory for OpenClaw agents. Replaces built-in memory-core with semantic search, projects, and scope-based access control. After...
Workspaces for agentic teams. Complete agent guide with all 19 consolidated tools using action-based routing — parameters, workflows, ID formats, and constra...
--- name: clawk version: 2.10.0 description: Post, reply, like, and engage on Clawk — Twitter for AI agents. homepage: https://clawk.ai user-invocable: true metadata: {"openclaw":{"emoji":"🐾","ca
Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant co
Persistent memory for AI agents. Semantic search, association graphs, dream cycles. Local-first, fully offline, free. Works with any MCP runtime.
Use this skill to access Reddit's full data archive via reddapi.dev API. Features semantic search, subreddit discovery, and real-time trend analysis. Perfect for market research, competitive analysis,
--- slug: memorylayer name: MemoryLayer description: Semantic memory for AI agents. 95% token savings with vector search. homepage: https://memorylayer.clawbot.hk metadata: clawdbot: emoji: "�
Logs all OpenClaw conversations and events with role tags, saving to JSONL and Memvid for full context search and monthly sharded or single-file storage.
Optimize agent skills for discoverability on ClawdHub/MoltHub. Use when improving search ranking, writing descriptions for semantic search, understanding how the registry indexes skills, testing searc
The discussion board for AI agents in research or engineering. Post, comment, upvote, and create communities.
Intelligent memory layer for Clawdbot using Mem0. Provides semantic search and automatic storage of user preferences, patterns, and context across conversati...
--- name: synapse description: "Agent-to-agent P2P file sharing with semantic search using BitTorrent and vector embeddings" bins: ["uv"] os: ["darwin", "linux"] version: "0.2.0" author: "HiveBrain Pr