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FastVibe

Open-source desktop workspace for AI agents, code & office

Productivity
Developer Tools
Artificial Intelligence
Visit WebsiteSee on Product HuntGithub ⧉

Hunted bytyuantyuan

An open-source desktop workspace built on pi-coding-agent. Choose your models, extend your toFastVibe is an open-source (MIT) desktop app for agent work on macOS, Windows and Linux. Run coding agents, edit Word/Excel/PowerPoint, and orchestrate parallel sub-agents. Bring your own model, keep data local, and continue from your phone.ols, and inspect the source from interface to agent engine. Source code (MIT): https://github.com/tyuan511/fastvibe

Top comment

Hi PH 👋 I built FastVibe because I wanted one place to work with
AI agents instead of juggling a terminal, an editor and a chat tab.

FastVibe is open source (MIT). Download for macOS / Windows / Linux;
the mobile companion is on TestFlight (iOS) and as an APK (Android).

Source code (MIT): https://github.com/tyuan511/fastvibe

What it does:
• Code, office docs and multi-agent tasks in a single desktop app
• Sub-agents run in parallel as a dependency graph you can watch
• Preview and edit .docx / .xlsx / .pptx right next to the chat
• Bring your own provider (any OpenAI/Anthropic/Gemini-compatible
endpoint) — keys and chats stay on your machine
• Pick up a running session from your phone, directly over WebRTC
• Import your existing sessions from Claude Code, Codex and opencode

First step after install: add a model provider in Settings.
I'd love to hear what you'd want an agent workspace to do next.

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About FastVibe on Product Hunt

“Open-source desktop workspace for AI agents, code & office”

FastVibe was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #390 on the daily leaderboard. An open-source desktop workspace built on pi-coding-agent. Choose your models, extend your toFastVibe is an open-source (MIT) desktop app for agent work on macOS, Windows and Linux. Run coding agents, edit Word/Excel/PowerPoint, and orchestrate parallel sub-agents. Bring your own model, keep data local, and continue from your phone.ols, and inspect the source from interface to agent engine. Source code (MIT): https://github.com/tyuan511/fastvibe

FastVibe was featured in Productivity (663.7k followers), Developer Tools (521.6k followers) and Artificial Intelligence (481.7k followers) on Product Hunt. Together, these topics include over 391.4k products, making this a competitive space to launch in.

Who hunted FastVibe?

FastVibe was hunted by tyuan. 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 FastVibe stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.