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✦ Free & open sourceProductivity

graphify

Turn codebases, docs, and PDFs into a queryable knowledge graph for AI assistants.

Map codebases into a queryable knowledge graph

Local tree-sitter AST parsing replaces grep with a real graph for your AI coding assistant.

Free forever · open source · Apache-2.0
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.6
ZEKAI
Essential graph tool for AI coding
Free & open source · Productivity
Ease of setup2
Usefulness9
Maintenance9.5
Community9.8
★ 146,818
GITHUB
Nov 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Graphify is a local tool that parses your code, docs, and PDFs into a real knowledge graph rather than a vector store. You type /graphify in assistants like Claude Code or Cursor to query code paths instead of grepping files.

Runs on
Cross-platform
Hosting
Desktop
Languages
Python
License
Apache-2.0

What it is

It uses tree-sitter locally to build deterministic AST graphs of code across 40 languages without sending code to an LLM. It generates three output files including an interactive HTML graph, a markdown report, and a JSON file for querying.

Who it's for

It suits developers and executive assistants managing complex codebases who want to cut token spend and trace code connections. It does not suit teams unwilling to run a Python CLI or install assistant skills.

Key features

Local AST Parsing

Parses code locally using tree-sitter without sending your source files to an LLM.

Explained Graph Edges

Every connection is tagged as explicitly extracted from source or inferred by resolution.

Interactive Outputs

Produces a clickable browser-based HTML graph alongside markdown summaries and raw JSON.

Multi-Assistant Skill

Integrates via a single command into Claude Code, Cursor, Codex, Gemini CLI, and GitHub Copilot.

How to start

Up and running in 3 steps

1
Install the CLI using uv tool install graphifyy or pipx install graphifyy
2
Run graphify install to automatically register the skill with your AI assistant
3
Type /graphify . inside your AI coding assistant to map the repository
Real talk

Our honest verdict

What's great

  • Parses code locally via tree-sitter with zero LLM credit usage for code structures
  • Tags every edge with explicit confidence markers for source verification
  • Provides an interactive HTML graph output alongside queryable JSON files
  • Supports over 40 programming languages out of the box

Where it falls short

  • Requires Python 3.10+ and package managers like uv or pipx to install
  • Semantic passes over non-code documents like PDFs require assistant model API keys
  • Cloud features and cross-repo links require a paid Graphify Cloud subscription
Cost

Pricing & license

Free and open source under the Apache-2.0 license, with optional paid Graphify Cloud tiers for continuous monorepo monitoring and team integrations.

Paid work

Open remote AI-training roles

880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Does Graphify use a vector database?

No, it builds a real graph you traverse rather than using embeddings or vector stores.

Which AI assistants are supported?

It supports Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot, and over 20 others.

Is my code sent to an external server?

Code is parsed locally on your machine using tree-sitter AST, so nothing leaves your machine.

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