Track Agent Edits, Measured Outcomes, And Evaluation Costs

A Python system that iteratively proposes, screens, evaluates, and selects changes to AI agent harnesses, including prompts, tools, memory, and control flow. It supports coding, document-work, and engineering-design benchmarks, with auditable Git-based candidate histories.

AI Agents | Python · agent harnesses · self-improvement