GhostDocs Uses Local AI to Surface Undocumented Knowledge in Code Repositories

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A developer has built GhostDocs, a local-first command-line tool that scans software repositories to identify important knowledge that has been lost or never documented. The tool uses the open-weight gemma4:e4b model running through Ollama, so repository content is processed on the developer's own machine rather than sent to a hosted AI service. It produces a report with three sections: Lost Knowledge, Ghost Sightings for inconsistencies and gaps, and a Resurrection Plan with suggested fixes. Created for the Hacktoberfest Open-Source AI Challenge, the project is built in Python and does not modify the original repository files. The developer presents it as a way to recognize what documentation is missing rather than to automatically rewrite it.

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