RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory
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
End-to-end encrypted cloud memory for AI agents. 100GB free storage. Store memories, files, and secrets securely.
Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...
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...
Search and retrieve Korean statutes and administrative rules with precise filters. Access English translations and drill down to articles, paragraphs, and sub-items. Explore linkages with local ordina
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: "�
Persistent memory for AI agents. Store context, recall semantically, never lose important information. ✨ Features: - Hybrid search (semantic + keyword) - Entity extraction & knowledge graph - Multi