dshills/clarion

Evidence-backed documentation generation for Go repositories. Scans code, builds a Fact Model, generates architecture/API/data-model/runbook docs via LLM — every claim traceable to source.

21
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

—

Language

Go

License

MIT

Category

ai-documentation-generation

Last pushed

Mar 03, 2026

Commits (30d)

0

GitHub
AI Documentation Generation · 61 tools

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