devwhodevs

Engraph — AI skill for Claude Code

AI community

Local knowledge graph for AI agents.

How to install Engraph

This entry records only its repository, not the path inside it, so there is no exact command to give. Open devwhodevs/engraph and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Engraph does

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

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README

engraph — Vault Intelligence for AI Agents

Turn your Obsidian vault into a knowledge API. 5-lane hybrid search, MCP server, HTTP REST API, ChatGPT Actions — all local, all offline.

[![CI](https://github.com/devwhodevs/engraph/actions/workflows/ci.yml/badge.svg)](https://github.com/devwhodevs/engraph/actions/workflows/ci.yml) [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![GitHub release](https://img.shields.io/github/v/release/devwhodevs/engraph)](https://github.com/devwhodevs/engraph/releases)

engraph turns your markdown vault into a searchable knowledge graph that any AI agent can query — Claude Code via [MCP](https://modelcontextprotocol.io), ChatGPT via [Actions](https://platform.openai.com/docs/actions), or any tool via REST API. It combines semantic embeddings, full-text search, wikilink graph traversal, temporal awareness, and LLM-powered reranking into a single local binary. Same model stack as [qmd](https://github.com/tobi/qmd). No API keys, no cloud — everything runs on your machine.

engraph demo: 4-lane hybrid search with LLM intelligence, person context bundles, Metal GPU

Why engraph?

Plain vector search treats your notes as isolated documents. But knowledge isn't flat — your notes link to each other, share tags, reference the same people and projects. engraph understands these connections.

5-lane hybrid search — semantic embeddings + BM25 full-text + graph expansion + cross-encoder reranking + temporal scoring, fused via Reciprocal Rank Fusion. An LLM orchestrator classifies queries and adapts lane weights per intent. Time-aware queries like "what happened last week" or "March 2026 notes" activate the temporal lane automatically