Project overview
Claude Harness scaffolds a repository-level working framework for AI-agent work. It creates concise rules, active and completed execution plans, lessons, and a technical-debt tracker, then uses failing tests to lock behavior before implementation. Review, phase-finish, and lesson-promotion steps keep the context current over longer projects, making it useful for new codebases, refactors, and durable maintenance.
Repository facts
- Primary language
- Not detected
- License
- MIT
- Repository updated
- Jul 10, 2026
- Default branch
- main
Resource types
Agent harnessPlugin
Use cases
Software developmentCode review and qualityProject and product managementTesting and debugging
Capabilities
Verification and evals
Audience
Developers