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。
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search resea
Search markdown knowledge bases efficiently using qmd. Use this when searching Obsidian vaults or markdown collections to find relevant content with minimal token usage.
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche ma
Integrates the SwiftScholar HTTP API for searching, submitting, and analyzing academic papers. Use when the user wants to search literature, submit PDFs/URLs for parsing, retrieve analyses, manage fav
MidOS — The MCP Knowledge OS. 134 tools for knowledge management, multi-agent orchestration, search, planning, and memory. 670K+ vectors, 46K+ chunks, EUREKA...
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.
OpenClaw Memory-OS - Digital immortality service and cognitive continuity infrastructure for personal memory management
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...
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...
Research ecommerce categories on Reddit to find opportunity areas (pain points) and trending products using semantic AI search via reddit-insights.com MCP se...
Intelligent memory layer for Clawdbot using Mem0. Provides semantic search and automatic storage of user preferences, patterns, and context across conversati...
Give your agent a searchable knowledge brain - semantic search, topic synthesis, and action tracking across your saved YouTube videos, articles, Reddit threads, X posts, and PDFs
Resume multi-session projects with full context retention. Use when returning to previous work, needing conversation history, recalling past decisions, or br...
Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Store, search, and inject contextual memories into LLM prompts. Includes auto-injection...
Use Notnative MCP server for complete AI assistant integration with notes, calendar, tasks, Python, canvas, and permanent memory. This skill provides persist...
Optimize and manage session tokens for workspace memory with commands to check usage, reset, index, search, and compress tokens.
Install, configure, diagnose, and operate the openclaw-mem0 long-term memory plugin for OpenClaw agents. Use when the user wants to set up mem0 memory (platf...