GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively.
Good fit when
- When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally.
- If you are working with AI agents like Claude Code, Cursor, Codex, and Gemini CLI and require a /graphify skill for local deterministic AST parsing.
Avoid when
- If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores.
- When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally.
- Pricing:
- freemium - Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee.
- Requirements:
- Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install graphifyHow it fits your stack(48)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
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Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Graphify converts codebases, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph using local deterministic AST parsing.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Tags
README
or install uv: curl LsSf https://astral.sh/uv/install.sh sh bash Create the project venv and install graphify + all extras + the dev group
For agents
This page has a .md twin and JSON over the API.