
Models matter. Context matters more. Give your agent a plan.
Deep Work Plan turns any repo into a harness with the context of your best engineer — so any AI agent codes like your smartest model and can't drift from the plan. Not a chat window it forgets, a spec written into the repo: atomic tasks, acceptance criteria, validation gates, resumable state. Long runs survive context resets; any agent picks up where the last left off. Point an agent at it, walk away, come back to work you can verify. Any agent, any repo, no lock-in. Open Source, MIT.
Deep Work Plan is an open-source tool that transforms any code repository into a structured environment for AI agents, ensuring they follow a defined coding plan with clear tasks and validation criteria. It allows for seamless context retention, enabling agents to resume work without losing progress across different repositories.