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Wavefunction
A minimal, open-source coding agent for your Mac
33 followers
A minimal, open-source coding agent for your Mac
33 followers
Coding agents keep turning into super apps. Wavefunction goes the other way: a minimal desktop app built for coding. Keep chatting while it works on several tasks in parallel. Use your ChatGPT subscription, Anthropic, Google, OpenRouter or a local model. Computer use runs on its own desktop, not yours. Free and open source.
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Hi Product Hunt! 👋 I'm Stoyan, and I built Wavefunction.
During the dark ages of AI, when Opus 5 was incomprehensible and Codex Ultra was burning all my tokens within a day, I decided to give open-source agents and models a try. Most of the open-source tools I tried were terminal-first, and desktop apps were less common. At the same time, other agent apps were slowly turning into "superapps", shipping more and more features that weren't useful to me and making the UI heavy and complex.
This motivated me to build Wavefunction: a minimal, open-source desktop app that focuses on the coding experience and cuts the features you don't need.
• Keep chatting while it works on several tasks in parallel. You never wait for a turn to end: the agent spawns subagents, steers them and combines their work
• Log in with your ChatGPT account, use an API key from OpenRouter, Vercel AI Gateway, Anthropic, Google AI Studio, or run a local model with Ollama
• No built-in browser, and computer use runs on its own sandboxed desktop
• 70+ connectors, and you can require zero-data-retention (ZDR) models
• Free and open source (MIT)
If you try it out, I'd love to hear your feedback.
What's one feature in your current coding agent you'd happily delete?
Running computer use on its own sandboxed desktop instead of mine is the detail I like most here. For your question, I'd drop anything that auto-edits files without showing a clear diff first. With subagents working in parallel, how do you handle two of them touching the same file?
@galdayan Thanks for the feedback!
The agent that spawns and orchestrates the subagents decides whether to do it in the same or separate worktree. After their work is done it makes sure to aggregate the work properly in the same worktree.
Curious, do you usually check the diffs thoroughly before you make a PR? Wavefunction allows you to see the diff and then revert to a previous point in time if things are off.