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Graphify

An open-source Python developer tool that parses codebases and related technical documents into a queryable knowledge graph.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Graphify — OpenViST project profile in Agent Memory & RAG.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Graphify when repository context is distributed across code and technical documents and an AI coding workflow would benefit from explicit, queryable relationships.

Who it is for

  • Developers using AI coding assistants
  • Teams exploring unfamiliar repositories
  • Users needing structured relationships across code and project documentation

Documented uses

  • Map a codebase and related project artifacts
  • Query relationships between source code, documentation, schemas and configurations
  • Explore architecture through an interactive graph
  • Provide a structured retrieval layer for AI coding workflows
  • Support dependency and impact analysis
Before you choose

Requirements & limits

The repository is public, open source and licensed under Apache-2.0. It is presented as a CLI and self-hosted developer tool. No account requirement, pricing or general service availability is documented for the repository tool.

  • Whether the coding workflow uses one of the documented supported assistants
  • Whether local deterministic AST parsing is useful for the project
  • Whether graph relationships are preferable to a vector-store retrieval approach
  • Whether project context includes documentation, SQL schemas, configurations or PDFs
  • Whether semantic processing of non-code materials through an assistant model or configured API key fits the workflow

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Graphify and register its coding-assistant skill

Set up the Graphify CLI and register the /graphify skill with an AI coding assistant.

Before you start

  • A Python tool environment supporting the documented installation method.
  • A supported AI coding assistant, including Claude Code, Cursor, Codex or Gemini CLI.

Steps

  1. Install the CLI with the command below or pipx install graphifyy.

    Documented command
    uv tool install graphifyy

  2. Run graphify install to register the skill with the AI coding assistant.

  3. In the assistant, invoke /graphify . for the project directory.

Expected outcome

Graphify generates a graph.html view, GRAPH_REPORT.md, and graph.json in a graphify-out directory.

Guide limitations

  • The evidence does not specify operating-system requirements.
  • The evidence does not document the full behavior of each listed assistant integration.
  • Semantic processing for documents and other non-code media uses the assistant’s model or a configured API key.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
Graphify-Labs/graphify · Official homepage title · retained in its source language
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