GStars
    Graphify-Labs

    Graphify-Labs/graphify

    #18 this week

    Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

    llm
    ai-agents
    antigravity
    ast
    claude-code
    code-analysis
    Python
    Apache-2.0
    144.5K stars
    13.8K forks
    415 GitHub watchers
    Updated Nov 9, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #1 among LLM repositories ranked this week, and #1 over the last 30 days; #18 of 170 repositories with measured growth this week (top 11%).

    This week's +3,969 stars is in line with its 30-day pace of about +4,099 per week.

    5 releases in the last 90 days, the latest 1 day ago, with 378 contributors on GitHub.

    Peaked at #3 in the weekly ranking the week of Aug 2, its best in the past year.

    Use Cases & Benefits

    • Turn any codebase and its related documents into a fully queryable knowledge graph using local deterministic AST parsing without relying on vector stores.
    • Provides a unified, explainable graph of code, docs, configs, and PDFs with confidence tags and detailed relationship explanations for precise codebase understanding.
    • Use for interactive exploration and querying of complex codebases across multiple languages and file types to accelerate developer onboarding and debugging.
    • Use for integrating with AI coding assistants like Claude Code, Codex, and Gemini CLI to enhance code search and analysis workflows with structured knowledge graphs.
    • Use for generating architecture visualizations and reports that highlight key concepts, surprising connections, and inferred relationships to improve project documentation.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Type /graphify in your AI coding assistant and it maps your entire project — code, docs, PDFs, images, videos — into a knowledge graph you can query instead of grepping through files.

    Works in Claude Code, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, GitHub Copilot CLI, VS Code Copilot Chat, Aider, Amp, OpenClaw, Factory Droid, Trae, Hermes, Kimi Code, Kiro, Pi, Devin CLI, and Google Antigravity.

    Official package: The PyPI package is graphifyy (double-y). Other graphify* packages on PyPI are not affiliated. The CLI command is still graphify.

    Step 2 — register the skill with your AI assistant:

    That's it. Open your AI assistant and type /graphify .

    To install the assistant skill into the current repository instead of your user profile, add --project:

    Project-scoped installs write under the current directory, for example .claude/skills/graphify/SKILL.md or .agents/skills/graphify/SKILL.md (plus a references/ sidecar the skill loads on demand), and print a git add hint for files that can be committed. Per-platform commands that support project-scoped installs accept the same flag, for example graphify claude install --project or graphify codex install --project.

    PowerShell note: Use graphify . not /graphify . — the leading slash is a path separator in PowerShell.

    graphify: command not found? Use uv tool install graphifyy or pipx install graphifyy — both put the CLI on PATH automatically. With plain pip, add ~/.local/bin (Linux) or ~/Library/Python/3.x/bin (Mac) to your PATH, or run python -m graphify.

    Excerpt from the Graphify-Labs/graphify README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 12: +354Aug 13: +365Aug 14: +150Aug 20: +155Aug 29: +264Sep 4: +205Sep 19: +122Oct 20: +745Oct 21: +1,069Oct 22: +1,401Oct 23: +1,313Oct 24: +951Oct 25: +568Oct 26: +783Oct 27: +900Oct 28: +823Oct 29: +866Oct 30: +840Nov 2: +498Nov 3: +655Nov 4: +663Nov 5: +591Nov 6: +578Nov 7: +590Nov 8: +386Nov 9: +506

    +39,249 stars over 90 days across 34 snapshot days; best day +1,401 on Oct 22.

    Forks

    13.8K+3.6K

    Open issues

    1.6K+745

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    View category →
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    Graphify-Labs/graphify144.5K+4.0K651 day ago
    tashfeenahmed/freellmapi49.3K+3.5K45today
    HKUDS/DeepTutor57.0K+3.3K652 days ago
    blader/humanizer66.5K+3.0K3741 days ago
    Category median66.5K+3.5K45—
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