Vector Search

Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.

Graph-based memory system for LLMs with knowledge graphs and semantic search.

Guardrailed video editing for AI agents: FFmpeg, captions, effects, Hyperframes, and receipts.

Local-first personal knowledge base. Cited answers from your vault via vector + graph retrieval.

Semantic search over IMAGIN.studio API documentation — CDN, API, integration guides, and more.

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Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.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

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.

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.