graphify (codebase knowledge graph for agents)
What it does. graphify turns a codebase, with its docs, SQL schemas, configs, PDFs, and even images or audio, into a knowledge graph an agent can query: "god nodes" (most-connected concepts), Leiden communities labelled without an LLM, cross-file calls/imports/inherits links resolved by tree-sitter across about 40 languages, # WHY: and ADR references as first-class nodes, and query, path, and explain commands against graph.json. Code is parsed locally; only the semantic pass over docs and media calls a model backend. Use it before a large refactor or when onboarding an agent to an unfamiliar repo. It is not a SKILL.md, but graphify <platform> install writes always-on instructions for Claude Code, Codex, OpenCode, Copilot, Aider, OpenClaw, and others. Named in yanhua1010's list.
| Upstream | Graphify-Labs/graphify |
| License | Apache-2.0 (also LICENSE-MIT in the repo) |
| Author | Safi Shamsi / Graphify Labs |
| Stars (at fetch) | 116,509 |
| Fetched | 2026-09-10 |
Install
uv tool install graphifyy(package name has two y's) orpipx install graphifyy; needsuvor Python 3.10+.- In a project:
graphify .buildsgraphify-out/(graph.json, report, cache), thengraphify claude install(orcodex,opencode,copilot,aider,claw) makes the assistant consult the graph. graphify query "how does auth work",graphify path A B,graphify explain Concept;graphify serveexposes the graph as an MCP server or over HTTP for a team.- Add a
.graphifyignoreto skip directories; commitgraphify-out/cache/for speed or leave it out to keep the repo small.
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