Hybrid search over your Obsidian vault – CLI and MCP server

Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.

Collaborative memory plugin for Claude Code — persistent, searchable, interconnected. Captures the collaborative process as structured memos in an Obsidian vault with hybrid search.

Hybrid search for Obsidian vaults — BM25 + fuzzy + semantic vector search with RRF fusion. Full CLI, MCP server (stdio + HTTP/SSE), Docker-ready. Local ONNX embeddings or any OpenAI-compatible API.

A headless, CLI-first Hybrid RAG system for Obsidian vaults, combining Neo4j knowledge graphs and ChromaDB vector search for multimodal, incremental Personal Knowledge Management (PKM).

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Obsidian plugin for hybrid text + semantic search inspired by QMD

POC hybrid search API for searching in a Obsidian vault

Local-first, AI-native knowledge management system. Markdown + QMD hybrid search + Obsidian + any AI agent.

Turn your Obsidian vault into a native AI knowledge base for Claude Code. Hybrid search, MCP tools, auto-sync, 100% local.

Semantic search for your Obsidian vault - MCP server with hybrid search

MCP server for Obsidian vaults with hybrid semantic search

Hybrid semantic search CLI for Obsidian vaults using Qdrant and OpenAI

Go CLI for Obsidian vault management with hybrid FTS5 keyword and Gemini vector semantic search

Mnemo - Personal Knowledge Graph System for Obsidian vaults. Hybrid search (keyword + vector + graph), auto-enrichment, and GraphRAG.

Claude Code skill for managing structured markdown notebooks with auto git sync, Obsidian compatibility, and hybrid search

Standalone Memory OS for Claude Code — persistent memory with verified writes, hybrid Chinese/English FTS5 trigram search, and Obsidian sync

Production-grade memory system for OpenClaw (formerly Moltbot/Clawdbot) agents. 3-layer architecture: daily notes → reference files → curated memory. Hybrid search, Obsidian integration, security hardening.

MemoryDB is a self-hosted, open-source memory layer for AI agents: store and retrieve long-term context through a fast REST API with hybrid vector + BM25 search, multi-agent container namespaces, Docker-first deployment, and optional Obsidian vault integration.