Deploy your agent as a function, get a computer for it.
1. Write an agent as a TypeScript function. Deploy it. We run the loop, the sessions, streaming etc
2. Every session runs on a real Linux machine.
3. Your tools and MCP servers run on that machine - clone a repo, run ffmpeg, drive a browser, install anything.
4. Sessions are durable: can be steered mid-run, hibernate when idle, resume where they left off.
5. No model keys in your runtime. Bring your own or use our managed gateway.
This is the 2nd launch from OpenComputer. View more
OpenComputer
Launched this week
Firebase for Agents
Introducing OpenComputer
Deploy your agent as a function. Get a computer for it.
- a real Linux machine per session
- ffmpeg, chromium, git, install anything
- durable: hibernate + resume
- your keys never enter the runtime
The cloud of the last decade was built for apps. The next one is for trillions of always on agents. OpenComputer is their home.
the durable session part is what sold me - hibernate and resume means I'm not paying for idle compute while an agent is just waiting on something, and not losing installed packages either. a real Linux machine per session with ffmpeg/chromium/git preinstalled beats the usual sandboxed-function approach where you're constantly reinstalling deps on every cold start.
What needs improvement
pricing isn't on the launch page yet, so I can't tell what a long-lived hibernating session actually costs versus a short-lived one - would help to see that upfront rather than having to sign up to find out.
vs Alternatives
looked at plain Fly.io machines and Modal first, but both push you toward stateless containers or app-shaped sandboxes. OpenComputer's session-as-a-first-class-resource model fits an agent that runs for hours, not seconds, better than either.
Deploy your agent as a function, get a computer for it.
What you can expect:
1. Write an agent as a TypeScript function. Deploy it. We run the loop, the sessions, streaming etc 2. Every session runs on a real Linux machine. 3. Your tools and MCP servers run on that machine - clone a repo, run ffmpeg, drive a browser, install anything. 4. Sessions are durable: can be steered mid-run, hibernate when idle, resume where they left off. 5. No model keys in your runtime. Bring your own or use our managed gateway.
Give it a shot and let us know what you think, we're very keen on feedback!
Digger.dev
Hi PH - today we're launching OpenComputer.
Deploy your agent as a function, get a computer for it.
What you can expect:
1. Write an agent as a TypeScript function. Deploy it. We run the loop, the sessions, streaming etc
2. Every session runs on a real Linux machine.
3. Your tools and MCP servers run on that machine - clone a repo, run ffmpeg, drive a browser, install anything.
4. Sessions are durable: can be steered mid-run, hibernate when idle, resume where they left off.
5. No model keys in your runtime. Bring your own or use our managed gateway.
Give it a shot and let us know what you think, we're very keen on feedback!
DiffSense
Interesting! so is this competing with Claude managed agents or?
Congratulations on the launch! Just curious, why TypeScript? Almost all AI is built with Python...