safishamsi/graphify v0.7.3

on GitHub

What's new

graphify extract — headless semantic extraction for CI (#698)

Docs-only and mixed corpora can now run full LLM extraction without Claude Code:

pip install --upgrade graphifyy

export MOONSHOT_API_KEY=...    # or ANTHROPIC_API_KEY
graphify extract ./docs

What it does: detect → AST extract on code files → semantic LLM extract on docs/papers/images → merge → cluster → write graph.json + .graphify_analysis.json.

Flags:

• --backend kimi|claude — explicit backend (auto-detected from env if omitted)
• --out DIR — output root (default: <path>/graphify-out/)
• --no-cluster — skip community detection, write raw extraction only

Supported backends: Anthropic (ANTHROPIC_API_KEY) and Kimi (MOONSHOT_API_KEY). When using the /graphify skill interactively, any model your IDE session runs is used instead.

Also in this release

• Export/query/path/explain CLI subcommands (from 0.7.2) now have full integration test coverage
• skill.md reduced from 63KB to 47KB (#696)