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enquire-mcp
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enquire-mcp

Active·★ 34·MIT·Updated 2026-10-22

enquire-mcp transforms your Obsidian vault into persistent, queryable long-term memory for various AI agents, eliminating the need to re-explain context in every session. It provides best-in-class hybrid retrieval, including semantic search, reranking, and HNSW, all running locally with zero cloud calls during serving.

#AI Agents#Long-term Memory#RAG#Obsidian#Hybrid Retrieval#Vector Database#Knowledge Base
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Guides
#Multilingual
$ Install
$ npm install -g @oomkapwn/enquire-mcp
↗ Visit site★ GitHub
01

Features

01Vendor-neutral memory: Your memory lives in .md files, ensuring portability across different AI agents and providers.
02Best-in-class hybrid retrieval: Features BM25, multilingual embeddings, BGE cross-encoder reranker, HNSW, and int8 quantization for superior search quality and performance.
03Zero cloud calls during serve: All models are cached locally, and vault content never leaves your machine, ensuring privacy and air-gap safety.
04Freshness-aware recall: Search hits report note age and a `stale` flag, with optional recency-weighted ranking to prioritize fresh knowledge.
05PDFs with OCR & GraphRAG-light: Integrates PDFs (including OCR for scanned docs) into hybrid search and offers GraphRAG-light for wikilink community detection.
02

Compatibility

Obsidian
Knowledge Base
Verified via docs
Claude Code
AI Agent
Verified via docs
Claude Desktop
AI Agent
Verified via docs
Cursor
AI Agent
Verified via docs
ChatGPT
AI Agent
Verified via docs
Codex
AI Agent
Verified via docs
03

Quick start

1
$ npm install -g @oomkapwn/enquire-mcp
04

Use cases

↳Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes.
↳Personal knowledge base / second brain: Offers hybrid retrieval across 50+ languages, wikilink graph-boost, and GraphRAG-light to surface relevant notes and discover connections.
↳Agentic RAG / context engineering: Exposes per-signal scores, HyDE pre-rewrites, and sub-question decomposition for advanced retrieval, plus a built-in evaluation harness.
05

Alternatives

⚡Top VS:
VSokf-agent-memory★830→VSborhan★39→VSdakera-deploy★19→

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oomkapwn /
enquire-mcp
↗

The most advanced Obsidian MCP — long-term memory for AI agents. Hybrid retrieval (BM25 + ML + BGE rerank, RRF-fused), HNSW live-update, agentic RAG (HyDE + sub-question), Obsidian Bases, PDFs+OCR. For Claude Code/Desktop, Cursor, ChatGPT, Codex, OpenClaw. MCP-native, MIT, SLSA L2.

34MIT
Last commit1d ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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