Launching today
Re_gent
Version Control for AI agent Activity
73 followers
Version Control for AI agent Activity
73 followers
Git for your AI agent’s actions. Undo, trace, and control every step. re_gent shows what your coding agent changed, which prompt caused it, and lets you roll back agent work across files and sessions.
Does it store the natural-language prompt alongside the change, or only metadata about the session? Nice work!
Re_gent
@new_user___1402026d854e074177ea741 Both! :)
This hits a pain point I've run into personally. I added LangSmith tracing to my own agentic project specifically because when something broke mid-session I had no way to reconstruct which tool call or retrieval path caused it.. just vibes and scrolling. Re_gent feels like that same observability idea but applied at the file/code level, which is actually where it hurts more. The prompt-to-diff linking is the feature I'd use most.. knowing which instruction caused a specific file change is genuinely useful for debugging agent loops that go wrong on step 4 of 7.
Curious how you're handling branching though.. if an agent takes two different approaches across sessions on the same file, does re_gent track those as separate branches or does it flatten everything into one linear history? That distinction matters a lot once agents start doing exploratory work.
Re_gent
Hi Product Hunt Community 🥰
Git tells you what changed, but not what the agent did to get there.
When an agent breaks something, or if it decides to just delete necessary code we're often stuck reconstructing the session from memory (assuming you caught it before /compact)
So I built re_gent: version control for AI agent activity.
With re_gent, you can:
• Trace what your agent did, step by step
• Blame a line of code back to the prompt/session that caused it
• Rewind agent work across code and conversation
• Keep history even when sessions get compacted or fragmented
And I think this is just the enabler for a lot more:
- Sharing full-context conversations with teammates
- Skills that let an agent investigate its own past work
- Building richer context from an agent's decision history
- And Much more !
Would love any feedback, thoughts, or feature requests drop em below!
YOUR AGENT DESREVES TO BE BLAMED 🤜 🤖 🤛
Hahaha, by the way This would be useful for onboarding someone into an AI-heavy codebase too. Not just “here’s the commit,” but “here’s how the agent got there.”
Re_gent
@new_user___1402026021be33c5d5d65d5 Accurate. Every org utilizes agents differently, resulting in different agent behavior per org, per task. Understanding what the agent did can teach you a lot these days.