Re_gent
UnclaimedVersion control for AI coding agents, tracking activity, prompts, and changes locally.
Visit WebsiteFreeVisit Website
TL;DR - Re_gent
- Version control for AI coding agents, not just files.
- Tracks agent actions, prompts, and conversations for full auditability.
- Enables undo, blame, checkout, and replay of AI coding sessions.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Provides deep insights into AI agent decisions and changes
- Offers robust control over AI-generated code
- Maintains a complete audit trail even if AI tools compact history
- Facilitates parallel work with multiple AI agents without conflicts
- Free and open-source (Apache-2.0 License)
Cons
- Currently in public alpha, may have limited features or stability
- Limited integration with AI tools currently, though more are planned
Key Features
Version control for AI agent activityUndo AI coding sessionsBlame AI agent changes to specific promptsCheckout AI agent statesReplay AI coding sessionsTracks agent conversations and promptsContent-addressed storage for full historyBranching for parallel agent work (sessions)
Pricing
Free
Re_gent is completely free to use with no hidden costs.
What is 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.
Reviews
Be the first to review Re_gent
Your take helps the next buyer. Verified LinkedIn reviewers get a badge.
Write a reviewExplore More
Re_gent FAQ
How does Regent differ from traditional Git for managing code changes?
While Git tracks changes to files, Regent specifically tracks the activity of AI coding agents, including the conversations and prompts that led to those file changes. This allows developers to understand the 'why' behind agent modifications, rather than just the 'what'.
What happens to the AI agent's history if the agent itself uses a '/compact' command or starts a fresh session?
Regent captures everything in content-addressed storage, meaning it maintains a full record of the agent's activity and conversations. Even if an AI tool compacts messages or starts fresh, Regent preserves the complete audit trail, preventing loss of history.
Which AI coding tools are currently supported by Regent, and what are the plans for future integrations?
Currently, Regent supports Claude Code, Codex, and OpenCode across all platforms. Future plans include integrations with Cursor, Cline, Continue, and Aider.
How does Regent handle multiple AI agents working on a single codebase simultaneously?
Regent assigns each AI agent conversation its own branch, referred to as 'sessions'. This allows multiple agents to work in parallel without conflicts, providing a structured way to manage their contributions.
Source: re-gent.dev