Structured workflows for long-running AI agents
Describe a process in plain English. DeepWork turns it into a reusable skill with quality gates, so agents stay on-script across complex, high-discretion tasks. Works as a plugin for Claude Code, Codex, and other agent harnesses.
DeepWork is an open-source plugin for AI agent harnesses — tools like Claude Code, Codex, and Gemini CLI that let AI models operate autonomously on your computer.
These agents are powerful, but they struggle with long, multi-step tasks. They go off-script, lose context between sessions, and skip steps when tasks get complex. Research shows agent failure rates quadruple when you double task duration.
DeepWork solves this by adding workflow structure. Describe a process once, and DeepWork creates a reusable skill — a series of steps with quality gates that keep the agent on track. Skills are composable: you can call one skill from inside another. All work happens on git branches, so everything is versioned and reviewable.
If you can describe a process, you can automate it. DeepWork works for anyone using an AI agent harness.
Competitive research, investor updates, reports that pull from multiple sources — automated and repeatable.
Tutorial writing, QA reports, daily briefs, SEO analysis, updating process docs — work that recurs but doesn't warrant custom software.
ETL workflows, custom reports, standup summaries, git log analysis — structured processes with quality checks.
Stop hooks verify outputs before proceeding. Critique loops catch gaps. Every finding includes sample sizes and context.
Run /deepwork deepwork_jobs learn after any job to capture what worked and improve the skill automatically.
All work happens on branches. Skills are version-controlled. Roll back to prior versions, keep skills in sync across your team.
Skills can call other skills. Chain a competitive research skill into a comparison document skill — automate from raw research to final deliverable.
Define your own, or start from these. Each is a skill you build once and run whenever you need it.
Track competitors weekly, generate diff reports, and produce strategic positioning recommendations.
Scan inbox, categorize, archive, and draft replies. Runs on a schedule.
Turn expertise into documentation. Research the topic, draft, review against style guides, and polish.
Connect to data, define research questions, query, validate findings, and produce a comprehensive report.
Quarterly audit of who has access to which services. Find forgotten licenses and save money.
Research companies, understand their needs, and craft personalized outreach messages.
DeepWork also supports Gemini CLI (partial support). OpenAI Codex and other harnesses are planned. See the GitHub README for the latest.
Free and open source. If you're already paying for a Claude Max subscription, each automation costs you nothing additional.
Questions? Open an issue or reach out at labs@unsupervised.com