Re_gent

Regent provides version control specifically designed for AI coding agents. It captures every action an AI agent takes, allowing developers to undo, blame, checkout, and replay AI coding sessions locally. Unlike traditional Git which tracks files, Regent tracks the underlying agent conversations and prompts that lead to code changes. This enables users to understand why an AI agent made specific modifications, identify which prompt caused an issue, and rewind both code and conversation history. This tool is essential for developers working with AI coding assistants, especially as AI agents become more prevalent in the development workflow. It acts as an infrastructure layer for managing multiple AI agents working in parallel on different tasks (e.g., refactoring, testing, database migration) by giving each conversation its own branch, preventing conflicts. Regent ensures a complete audit trail, even if AI tools compact or delete message history, by using content-addressed storage. It aims to provide the 'git' equivalent for agentic development, offering control and transparency over AI-generated code.