Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.
Persistent memory for OpenClaw agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Hybrid search (BM25 + vector + graph) rec
Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete se...
Provides persistent, searchable AI agent memory with real-time capture, vector search, and nightly LLM curation for long-term recall on local hardware.
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes
Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet add...
Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage.
--- name: memory-lancedb-hybrid description: LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking). --- # LanceDB Hybrid Search (Memory Plugin) This skill packag
Provides a high-performance unified memory combining file-based OpenClaw storage with semantic vector search using local Ollama embeddings for fast, private...
--- 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
Football player DNA similarity search — find style-matched alternatives at lower market values using AI vector search across 56,000+ players
Embeds and controls a virtual avatar using the avatar-runtime npm package. Provides Live2D rendering, VRM 3D, vector fallback, and control-driven expression/...
Auto-escalating multi-tier memory search that cascades from in-memory cache through SQLite, grep, and LanceDB vector search to find the best answer with mini...
Helps with .NET integration in vvvv gamma — NuGet packages, library references, .csproj project configuration, the [assembly: ImportAsIs] attribute, vector t...
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
seekdb database documentation lookup. Use when users ask about seekdb features, SQL syntax, vector search, hybrid search, integrations, deployment, or any se...
Ghost radio station that broadcasts both human-listenable audio and 296-dimensional perceptual vectors to Flux Universe. Part of the Kannaka Constellation —...
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running l
The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into priorit...
Fetch OpenStreetMap vector data (streets, buildings) for an address and export to SVG, GeoPackage, or DXF for CAD/Rhino.
--- name: qmd description: Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode. homepage: https://tobi.lutke.com metadata: {"clawdbot":{"emoji":"📝","requires":{"bins":["qmd"]},"instal
Engineer professional-grade brand logos using geometric primitives and negative space — generates minimalist, scalable vector-style marks via muapi.ai