A local debugging tool that records managed Codex sessions and workspace checkpoints so you can inspect changes and restore earlier files into an isolated Git worktree.
I'm excited to introduce AgentTM (Agent Time Machine), a local-first debugging tool I've been building for AI coding agents, starting with OpenAI Codex.
Why did I build this?
As AI coding agents become more capable, they execute commands, modify multiple files, and perform complex operations. But when something goes wrong, understanding what happened during execution can be difficult.
I wanted a way to inspect an agent's activity, explore earlier workspace states, and recover previous code without disrupting my current work.
That's how AgentTM started.
What AgentTM offers:
Execution Timeline: Record supported Codex events and inspect agent activity.
Workspace Checkpoints: Capture baseline, final, and supported operation-boundary snapshots.
Historical File Explorer: Browse earlier versions of your source files.
Code Diffs: Compare changes between checkpoints.
Safe Restoration: Restore previous files into isolated Git worktrees.
Interactive Codex Chat: Chat with Codex through the native Windows desktop app.
Encrypted Backups: Protect and restore local AgentTM history.
Local-First Storage: SQLite and SHA-256 content-addressable storage.
Storage Management: Integrity diagnostics, session cleanup, and garbage collection.
Built with: Go, SQLite, React, TypeScript, Git worktrees, and Wails.
The CLI and browser dashboard support Windows, Linux, and macOS. The native desktop app is currently Windows-only.
AgentTM is still an early public beta. It complements Git rather than replacing it, and checkpoints represent observed workspace states rather than deterministic execution replay.
I'd love your feedback!
What debugging features would make AI coding agents easier to work with? Would you find checkpoint inspection, code provenance, or support for additional coding agents most useful?
If you find AgentTM interesting or useful, I'd really appreciate it if you could give the repository a star (⭐) on GitHub! It would mean a lot and help the project reach more developers.
Thanks for your support!
Building AgentTM during Hypership Day!
I'd love to hear from developers using Codex or other AI coding agents.
What's one feature you wish existed for debugging agent activity, exploring session history, or recovering earlier workspace states?
I'm actively improving AgentTM and would genuinely appreciate your feature requests, feedback, or even criticism.
If there's something you'd find useful, drop a request here. I'd love to explore it!
About AgentTM on Product Hunt
“Time-travel debugging for AI coding agents”
AgentTM launched on Product Hunt on November 6th, 2026 and earned 62 upvotes and 3 comments, placing #39 on the daily leaderboard. A local debugging tool that records managed Codex sessions and workspace checkpoints so you can inspect changes and restore earlier files into an isolated Git worktree.
On the analytics side, AgentTM competes within Productivity, Developer Tools, GitHub and Tech — topics that collectively have 1.9M followers on Product Hunt. The dashboard above tracks how AgentTM performed against the three products that launched closest to it on the same day.
Who hunted AgentTM?
AgentTM was hunted by Jyotishmoy Deka. 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 AgentTM including community comment highlights and product details, visit the product overview.
Jyotishmoy Deka
Hey Product Hunt! 👋
I'm excited to introduce AgentTM (Agent Time Machine), a local-first debugging tool I've been building for AI coding agents, starting with OpenAI Codex.
Why did I build this?
As AI coding agents become more capable, they execute commands, modify multiple files, and perform complex operations. But when something goes wrong, understanding what happened during execution can be difficult.
I wanted a way to inspect an agent's activity, explore earlier workspace states, and recover previous code without disrupting my current work.
That's how AgentTM started.
What AgentTM offers:
Execution Timeline: Record supported Codex events and inspect agent activity.
Workspace Checkpoints: Capture baseline, final, and supported operation-boundary snapshots.
Historical File Explorer: Browse earlier versions of your source files.
Code Diffs: Compare changes between checkpoints.
Safe Restoration: Restore previous files into isolated Git worktrees.
Interactive Codex Chat: Chat with Codex through the native Windows desktop app.
Conversation Continuation: Resume supported saved Codex conversations.
Encrypted Backups: Protect and restore local AgentTM history.
Local-First Storage: SQLite and SHA-256 content-addressable storage.
Storage Management: Integrity diagnostics, session cleanup, and garbage collection.
Built with: Go, SQLite, React, TypeScript, Git worktrees, and Wails.
The CLI and browser dashboard support Windows, Linux, and macOS. The native desktop app is currently Windows-only.
AgentTM is still an early public beta. It complements Git rather than replacing it, and checkpoints represent observed workspace states rather than deterministic execution replay.
I'd love your feedback!
What debugging features would make AI coding agents easier to work with? Would you find checkpoint inspection, code provenance, or support for additional coding agents most useful?
GitHub: https://github.com/Jyotishmoy12/AgentTM
Thanks for checking it out! 🙌
If you find AgentTM interesting or useful, I'd really appreciate it if you could give the repository a star (⭐) on GitHub! It would mean a lot and help the project reach more developers.
Thanks for your support!
Building AgentTM during Hypership Day!
I'd love to hear from developers using Codex or other AI coding agents.
What's one feature you wish existed for debugging agent activity, exploring session history, or recovering earlier workspace states?
I'm actively improving AgentTM and would genuinely appreciate your feature requests, feedback, or even criticism.
If there's something you'd find useful, drop a request here. I'd love to explore it!