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.
The most valuable thing in a long-running agent is not just autonomy, it is knowing why the next attempt is still justified. I would want the loop to expose what changed since the previous try: new context, better verifier signal, reduced uncertainty, or a narrower task. Without that, autonomous retries quietly turn into expensive repetition.
About Re_gent on Product Hunt
“Version Control for AI agent Activity”
Re_gent launched on Product Hunt on May 20th, 2026 and earned 167 upvotes and 32 comments, placing #6 on the daily leaderboard. 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.
On the analytics side, Re_gent competes within Open Source, Developer Tools and GitHub — topics that collectively have 622.4k followers on Product Hunt. The dashboard above tracks how Re_gent performed against the three products that launched closest to it on the same day.
Who hunted Re_gent?
Re_gent was hunted by SHY. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Re_gent including community comment highlights and product details, visit the product overview.
SHY
The most valuable thing in a long-running agent is not just autonomy, it is knowing why the next attempt is still justified. I would want the loop to expose what changed since the previous try: new context, better verifier signal, reduced uncertainty, or a narrower task. Without that, autonomous retries quietly turn into expensive repetition.