OpenComputer
Firebase for Agents
What it does
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 background agent cloud. Every sandbox is a full Linux VM with hardware-level isolation via KVM. Long-running, checkpoint and fork, resize memory and CPU at runtime.
An agent is a TypeScript function. Deploy it in seconds and it's live, ready to serve your users. Your keys never enter the runtime. import { useModel , useTool , useMcpServer } from "@opencomputer/agent" ; import { openCleanupPullRequest } from "./tools/github.js" ; export default function Agent () { useModel ( "anthropic/claude-sonnet-4.6" ); useMcpServer ( unleashMcp ); // read flag state useTool ( openCleanupPullRequest ); // one PR per stale flag return "Find stale flags in code, open a PR to remove each." ; } A real agent: it finds stale feature flags still referenced in code and opens a cleanup PR for each. Either way, your project shows up in the dashboard after its first deploy.…from opencomputer.dev
Pricing, as stated on its site
Free tier, paid plans from $20/mo — OpenComputer offers a freemium model with $10 free credit to start. Paid plans begin at $20/month (Pro) with 10× prepaid credit multiplier. Pay-as-you-go rates available for model calls (at API rates)
checked September 2026 · prices change
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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