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CrewCode
Run AI coding agents in parallel without losing control
CrewCode is a free, open-source control center for developers running multiple AI coding agents across real repositories. Unlike chat only agent tools, it makes the full workflow visible: launch agents in isolated git worktrees, supervise every lane in Mission Control, switch providers with context handoffs, review combined diffs, and merge with confidence. It supports CrewCoder, Claude Code, Codex, OpenCode, Ollama, and more on macOS, Linux, and Windows.
Hey Product Hunt! 👋
I built CrewCode because running more than one AI coding agent quickly became harder to manage than the code itself. I was juggling terminals, worktrees, chat sessions, unfinished diffs, and browser tabs with no clear view of what each agent was doing.
CrewCode brings that workflow into one desktop control center. You can:
• Launch multiple agents in isolated git worktrees
• Supervise their progress from Mission Control
• Mix providers and hand off context between them
• Review generated diffs before anything lands
• Commit, merge, and manage the repository without leaving the app
• Create persistent delegated threads that you can inspect and continue yourself
CrewCode is free and open source, with support for macOS, Linux, and Windows. It works with CrewCoder, Claude Code, Codex, OpenCode, Ollama, and other providers.
This is an early release, and I’d genuinely value your feedback especially from developers already running multiple agents on real projects. What part of the multi agent workflow causes you the most friction today?
Thanks for checking it out! 🚀
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About CrewCode on Product Hunt
“Run AI coding agents in parallel without losing control”
CrewCode was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #79 on the daily leaderboard. CrewCode is a free, open-source control center for developers running multiple AI coding agents across real repositories. Unlike chat only agent tools, it makes the full workflow visible: launch agents in isolated git worktrees, supervise every lane in Mission Control, switch providers with context handoffs, review combined diffs, and merge with confidence. It supports CrewCoder, Claude Code, Codex, OpenCode, Ollama, and more on macOS, Linux, and Windows.
CrewCode was featured in Open Source (68.8k followers), Developer Tools (518.8k followers), Artificial Intelligence (477.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 244.5k products, making this a competitive space to launch in.
Who hunted CrewCode?
CrewCode was hunted by Cj Ramirez. 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 CrewCode stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Cj Ramirez