Home › Knowledge & Memory › rag-kb
rag-kb
Local-first agent memory & knowledge service with hybrid retrieval (BGE-M3 dense vectors + BM25 via jieba, fused with RRF), document & webpage ingestion, and optional RAG answering via local Ollama. Single process, embedded ChromaDB, REST + native MCP server; fully functional offline without any LLM. Apache-2.0.
Topics: Knowledge & Memory
Connect
See the repository for installation instructions: https://github.com/fish827-08/rag-kb
Related servers
Context7
Up-to-date code docs for any prompt
cognee
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
hindsight
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Skill_Seekers
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG…
basic-memory
Local-first knowledge management with bi-directional LLM sync via Markdown files.
NoteDiscovery
Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read,…
Listed in punkpeye/awesome-mcp-servers (MIT)