Autoresearch is an autonomous agent skill that enables Claude Code to iteratively refine code and experiments through a cycle of modification, verification, and retention decisions.
The tool addresses the problem of manual iteration during research and development by automating the feedback loop. It works by having Claude Code modify code or experimental parameters, verify the results against defined goals, decide whether to keep or discard changes based on outcomes, and repeat this cycle continuously without human intervention. This approach is inspired by autonomous research methodologies and aims to accelerate the exploration of solution spaces.
Developers should consider this tool if they work with Claude Code and want to reduce manual oversight during iterative development or experimentation. It suits projects where clear success metrics can be defined and where autonomous exploration of parameter spaces or code variations would be valuable. The tool is particularly relevant for research-oriented work where many iterations are needed to converge on a solution.
The project shows active development with recent commits and ongoing refinement of its core iteration logic. The codebase demonstrates attention to the verification step, with mechanisms for evaluating whether modifications meet stated goals. Documentation includes practical examples of how to structure goals and verification criteria for effective autonomous iteration.
