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Captain Code
Your agents. One Captain. Pick the right model for the task!
Captain picks the best model(s) for the task you prompted. Remove the hassle. Leverage every subscription to the max, and put the strongest open-source models into the same workflow. Claude Code, Codex, Cursor, Grok, APIs and /oss. Save tokens. Save headaches. One local TUI.
Today we're open-sourcing Captain Code 🚀 🫶 Captain picks the right AI model for each task and runs it from one terminal, on your machine. It drives the Anthropic Claude Code, OpenAI Codex, xAI Grok and Cursor CLIs you already pay for, and gives you access to the most capable open-weight models through OpenRouter, NVIDIA NIM and Hugging Face.
Why we built it? We no longer knew which model to use for what, we were under-using our subscriptions, and we wanted to hand more work to cheaper, capable open models. More than 25% of my prompts go to open-weight models as a result, and counting!
How does Captain work? It leverages the newly released TypeSafe AI Jev model to triage every task in milliseconds. Then it routes on quality, cost and latency, with the outcome logged locally for iterative improvements. When a model hits its usage limit, it reads the reset time and carries the work, context included, to the next relevant available model. When you type /oss, the task goes to open models only.
Learn more about Captain, try it now: https://captaincode.ai
We welcome feedback and contributions 🖖
Crafted with ❤️ on OpenCode.
About Captain Code on Product Hunt
“Your agents. One Captain. Pick the right model for the task!”
Captain Code was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. Captain picks the best model(s) for the task you prompted. Remove the hassle. Leverage every subscription to the max, and put the strongest open-source models into the same workflow. Claude Code, Codex, Cursor, Grok, APIs and /oss. Save tokens. Save headaches. One local TUI.
On the analytics side, Captain Code competes within Productivity, Open Source, Artificial Intelligence and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Captain Code performed against the three products that launched closest to it on the same day.
Who hunted Captain Code?
Captain Code was hunted by Romain Pellerin-Rezzi. 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 Captain Code including community comment highlights and product details, visit the product overview.
Romain Pellerin-Rezzi