Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

graphify

graphify• Pinned

graphify: Turn codebases, documentation, schemas, configurations, and media into a queryable knowledge graph.

What problem it solves

Developers and AI coding assistants often need to search across many source files and supporting materials to understand project relationships. Broad file reads and repeated grep searches can obscure architecture, dependencies, and the paths connecting concepts.

Key features

  • Queryable project graphs — Map project code and supporting material into a graph that can be queried, inspected in a browser, and persisted for later use.

    Source: README

  • Deterministic local code parsing — Code is parsed into an AST with tree-sitter, without an LLM or data leaving the machine.

    Source: README

  • Explained graph connections — Connections are marked as explicitly extracted from source or inferred during resolution, allowing users to distinguish the two.

    Source: README

  • Cross-file relationship analysis — The graph resolves calls, imports, inheritance, and mixins across files and reports connected concepts, communities, and rationale documentation.

    Source: README

  • Support for multiple input types — Code, documentation, PDFs, images, and video or audio can be represented in the same graph.

    Source: README

Quick start

Copied verbatim from the project's README.

uv tool install graphifyy      # install the CLI (or: pipx install graphifyy)
graphify install               # detects your assistant and registers the skill
/graphify .

Who it may suit

This may suit developers and teams that want AI coding assistants to inspect project relationships through scoped graph queries. It may also suit maintainers of codebases with extensive documentation, schemas, configuration, or other supporting material.

Topics to discuss

  • Which project relationships are most useful to expose in assistant-facing graph queries?

  • How should inferred relationships be presented so their confidence and provenance remain clear?

  • Which local-first workflows should receive more guidance for monorepos and cross-repository use?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/Graphify-Labs/graphify#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/Graphify-Labs/graphify

Comments

…