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fish827-08/rag-kb

by Various

Local-first, offline-capable Agent memory & knowledge service. REST + MCP dual-protocol, hybrid retrieval (vector + BM25/RRF), document/webpage RAG. No LLM required for storage & r

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MCP

fish827-08/rag-kb

Added 8 Sept 2026

Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Local-first, offline-capable agent memory and knowledge service. Provides REST and MCP dual-protocol access with hybrid retrieval combining vector and BM25/RRF. Handles document and webpage RAG without requiring an LLM for storage and retrieval.

Best for

Best for
Developers needing a lightweight, offline knowledge service for agents

Use cases

  • Build offline agent memory
  • Serve hybrid retrieval endpoints
  • Ingest documents and webpages for RAG

How to use

Install

pip install -r requirements.txt

Tools exposed

  • KB_LLM_MODE
  • KB_DEVICE
  • KB_WATCH_DIR
  • KB_DATA_DIR
  • KB_EMBED_MODEL
  • KB_LLM_MODEL
  • KB_OLLAMA_BASE_URL
  • KB_SENSITIVE_NAMESPACES
  • KB_API_KEY
  • KB_SPARSE_ENABLED

Clients listed in this record (not verified here)

Claude Code, Cursor, ChatGPT

Notes

2 stars on GitHub. Last updated 2026-09-07. Licensed Apache-2.0.

Pros

  • Offline-capable, no LLM dependency
  • Dual REST and MCP protocols
  • Hybrid retrieval combines vector and BM25

Cons

  • Low community adoption (2 stars)
  • Limited documentation or support implied
  • Python-only implementation

Open-source & AI alternatives

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Pairs with

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