Deep Work Plan
Open-source framework turning repos into execution harnesses for agents.
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Deep Work Plan is an open-source framework that turns a Git repository into an execution harness for AI agents. Rather than dropping context-heavy prompts into a chat window, you embed atomic tasks, acceptance criteria, and validation gates directly in the codebase as structured plan files.
Agents read those plans, execute one task at a time, and check their own work against the validation gates before moving on. The result: agents stay focused on long-horizon work spanning days, and they survive context resets without losing track of the overall goal.
Released under the MIT license by Sergio Florez and collaborators, Deep Work Plan is provider-agnostic — it works with Claude, GPT, Gemini, or any agent framework that can read a repository.
AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.
Why we picked it
Deep Work Plan earns its spot for embedding acceptance criteria and validation gates directly in the repo as plan files — an agent checking its own work against a gate it can read is worth naming against dropping a context-heavy prompt into chat and hoping for the best.
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