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CodePet is a local-first desktop companion for AI coding. It watches supported agent workflows and workspaces, surfaces key moments, creates checkpoints before changes, records structured progress, and builds editable handoff packs for another agent or teammate. Continue from Codex in Cursor, TRAE, or another tool without re-explaining the whole task. Completion, delivery, and validation stay separate, so you can see what happened, what was checked, what remains, and what to do next.
Hi Product Hunt! 👋
I built CodePet after noticing a strange side effect of using more AI coding tools: the agents became more capable, but the project context became more fragmented.
A task might start in Codex, continue in Cursor or TRAE, and later be handed to a teammate. The code is still there, but the goal, decisions, validation results, risks, and next step are often trapped in separate chats or in one person's memory.
CodePet is not another coding agent. It is a local-first desktop companion for the agents you already use.
It helps you:
1、notice key task states without watching every window;
2、create checkpoints before changes and keep validation separate from completion;
3、record structured progress—goal, completed work, open items, decisions, artifacts, validation, risks, and next step;
4、preview and edit a handoff pack before sharing it with another agent or teammate.
We deliberately keep the evidence boundaries visible: copying a handoff does not mean it was delivered, delivery does not mean it was executed, and task completion does not mean validation passed. When a platform does not provide an open handoff API, CodePet uses an explicit manual copy-and-paste flow rather than pretending the transfer happened automatically.
The cross-agent handoff flow has been validated from Codex to TRAE. We are now collecting real-team feedback before making any productivity or token-saving claims.
I'd love your feedback: which agents do you switch between, and what context do you most often lose during a handoff?
Learn more and download CodePet at https://codepet.me
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About CodePet on Product Hunt
“Keep AI coding moving across agents and teammates”
CodePet was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #107 on the daily leaderboard. CodePet is a local-first desktop companion for AI coding. It watches supported agent workflows and workspaces, surfaces key moments, creates checkpoints before changes, records structured progress, and builds editable handoff packs for another agent or teammate. Continue from Codex in Cursor, TRAE, or another tool without re-explaining the whole task. Completion, delivery, and validation stay separate, so you can see what happened, what was checked, what remains, and what to do next.
CodePet was featured in Productivity (660.2k followers), Developer Tools (519k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 361.3k products, making this a competitive space to launch in.
Who hunted CodePet?
CodePet was hunted by 李易阳. 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.
Want to see how CodePet stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
李易阳