DeepWork adds quality gates, self-critique loops, and learning to Claude Code, Aider, and Cursor. Your agents do the work. DeepWork makes sure it's finished work.
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Three frustrations every developer hits once they rely on AI agents for real work.
The first output is great. By step 20, the agent is hallucinating variable names and forgetting constraints. There's no checkpoint. No validation. Just drift.
Run the same prompt twice, get two different results. No way to enforce structure, style, or correctness across repeated workflows. You review everything, every time.
Complex work needs sequential stages with validation between each step. Current agents treat everything as a single-pass operation. Break it into steps manually, or hope for the best.
Three primitives. Infinite workflows. DeepWork adds structure to autonomy without taking away any power.
Break complex work into stages. Each step gets its own SKILL.md file — YAML frontmatter for config, markdown for instructions. The agent executes sequentially, validating at each checkpoint before moving forward.
Each step includes a critique pass where the agent reviews its own output, scores it 0–100, catches errors, and re-runs until the quality bar is met. Fire and forget — check back for validated output.
Run deepwork learn with feedback and skills update automatically. Every future run incorporates what you taught it. Quality compounds over time.
Competitive research job: quality gates running, a retry when the bar isn't hit, and the learn cycle at the end.
Claude Code is the engine. DeepWork is the quality layer. You don't replace your agent — you make it finish what it starts.
Every stage gets scored. Failures trigger automatic retries with the critique feedback injected. Output quality is enforced, not hoped for. Read how quality gates work →
Before any step passes, the agent critiques its output against the skill spec. Catches hallucinations, missing requirements, and structural issues before you ever see them.
Define the job, run it, go do something else. DeepWork handles the multi-step execution, validation, and retry logic. You get the finished output. Build your first workflow →
One command updates the skill file with your feedback. The next run is better than the last. Quality compounds — your workflows get smarter over time.
Not another closed platform with surprise rate limits. DeepWork is built for developers who want control.
DeepWork is free and open source. You pay only for the model tokens you use — at the provider's price, not ours. No subscriptions, no hidden quotas.
Use Claude, GPT, Gemini, or any model per task. Pick the right model for the right step. Cheap reasoning for boilerplate, top-tier for architecture decisions.
Open source under BSL 1.1. Transparent roadmap. No VC collapse risk. Skills are composable and shareable — build once, use everywhere.
Two commands. Ten minutes to your first validated workflow.
brew tap unsupervisedcom/deepwork && brew install deepwork
click to copy
Short, practical techniques for shipping production-quality AI-generated code. Direct from the team building DeepWork.
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