Vector Search

Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.

Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.

Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.

Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.

GitHub repository vectorizer and context synthesizer for RAG pipelines.

AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node

Rag Knowledge MCP Server by MEOK AI Labs

Rag Knowledge Graph MCP Server by MEOK AI Labs

Local-first document MCP for AI agents: create, read, secure and sign PDF/Word/Excel/PPTX.

Self-correcting agent memory: recall, supersede, revert, forget, GDPR erasure, audit receipts.

Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.

Personal RAG over your GitHub history (commits, code, reviews), served to Claude Code over MCP.

Answer questions from documents too large to fit in context, reading only the sections you need.

Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.

Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.

Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.

SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.

Your agent seeks what search can't find. A self-hosted perception MCP server.

Universal web content extraction — any URL to LLM-ready markdown. HTML, YouTube, PDF, DOCX.

Local Markdown/Obsidian knowledge substrate for MCP agents with governed memory and hybrid search.