retrieval
13 servers · 6,480★ total
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.
Your AI agents can't see your files. ctxd connects your cloud data and makes it searchable via API, CLI, or MCP.
Federated, local-first search for an AI — one query across transcripts, files, knowledge graph, vector store, and the web, fused by trust-weighted RRF. Apache-2.0.
Structured local memory storage and retrieval for LLM agents
Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.
RAG MCP Registry Finder (RAGMap): subregistry API + MCP server + Firestore ingestion
Local-first engine that grounds an AI agent's answers in your own Markdown and captures what it learns back into the KB — Node · TypeScript · MCP.
Retrieval-grounded prompt refinement as a Python library, CLI, and MCP server
Your agent seeks what search can't find. A self-hosted perception MCP server that transcribes speech, reads behind logins, sees images and video frames, crosses languages, and remembers.
Sovereign single-binary knowledge mesh for coding agents (MCP): index, search and serve your notes + code as context. Fair-code (no reselling).
MCP-compatible memory governance for AI agents — with structure, state, and lifecycle.