DoozCTL Stores Repository Context as Files So AI Tools Stop Rediscovering It

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A new open-source tool called DoozCTL aims to solve a persistent problem with AI coding assistants: every new session forces the tool to re-explore and re-learn a codebase from scratch. DoozCTL addresses this by converting project architecture, conventions, decisions, and current work context into structured files stored directly inside the repository, such as in an .ai/ directory. Because the memory lives in the repo itself, any AI tool — Claude Code, Codex, Gemini CLI, Cursor, or others — can read it without relying on proprietary APIs or shared server infrastructure. The project separates its engine, which handles analysis and artifact rendering, from interchangeable Standards Packages that define what each repository should contain. DoozCTL is available on GitHub under the DoozieSoftware account and is positioned as a vendor-neutral memory layer for AI-assisted development workflows.

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