The AI isn't the slow part. You are. Not because you're bad at your job — because you're spending your day managing one agent instead of building. Stop babysitting. Start shipping.
Get your invite to run background AI agents across all your projects.
Large companies have the infrastructure budget to build custom agent tooling in-house. You might not. Uncaged gives you the same architecture without the headcount: background AI agents building in parallel across fully isolated cloud workspaces, connected directly to your repos, running whether you're watching or not.
Connect a GitHub repo. Pick a branch. Choose a model. The workspace clones your code, detects your stack, installs dependencies, and the agent gets to work. You can talk to it through chat, or just assign it a task and walk away. It responds with code: commits, branches, pull requests.
Then you open another workspace. And another. Different repos, different features, different projects — all running in the background at the same time. You check in when you want, not because you have to.
Every workspace is a legitimate cloud dev environment. Here's what that means.
Connect from your local terminal or VS Code Remote. Real machine, real shell. Run whatever you want.
Run Postgres, docker compose up your service dependencies. Works as expected.
Stop a workspace Friday, come back Monday. Everything's where you left it.
1-32 vCPUs, 1-32 GB RAM, up to 1 TB storage. GPU instances for ML work.
View diffs, push branches, open PRs, merge from the UI — or SSH in and use your own tools.
Create tasks, assign to workspaces. The agent picks up work, pushes a branch, and moves the card to review.
Uncaged ships with built-in access to the models that matter: Claude Opus and Sonnet from Anthropic, Codex and GPT from OpenAI, and frontier open models. New models get added as the frontier moves.
Every workspace has a model picker — swap mid-conversation if something isn't clicking. A gnarly refactor might call for Opus. Quick bug fix, Sonnet. You pick per workspace, per session, whatever fits the job. Bring your own API keys if you already pay for Anthropic or OpenAI.
For two years, AI coding tools have been about making one developer faster. One person, one agent, one chat window. That was step one.
Step two is background agents. Not one agent you babysit, but many agents that work autonomously, in parallel, across all your projects. That's what turns a solo developer into something closer to a studio. What lets a five-person team ship like a fifty-person org.
The bottleneck was never the AI. It was always the serialization of human attention across too many things.
Uncaged removes that constraint.
Join the waitlist to be among the first to run background AI agents that ship for you.