AI Agent
OpenComputer
A platform for building and running durable AI agents with managed sessions, event logging, and automatic crash recovery.
OpenComputer
What is OpenComputer?
OpenComputer provides managed durable agent sessions that combine a workflow engine and sandbox into one API. It enables developers to define an agent, start a session, and have every step durably journaled, with the ability to resume from any sequence number after a crash, and includes an attached Linux VM that hibernates when idle.
OpenComputer vs Similar AI Tools
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How to use OpenComputer?
- 1Define an agent by specifying name, model, prompt, and runtime (e.g., Claude Agent SDK or Codex).
- 2Start a session with an input — the event log begins journaling and a client token is returned.
- 3Stream events live, steer mid-run by sending messages, and reconnect from any sequence number after a disconnect or crash.
OpenComputer Key Features
- Managed durable agent sessions with append-only event log
- Automatic crash recovery and resume from any sequence
- Attached Linux VM that hibernates when idle
- Steer agents mid-run with queued messages
- Webhook delivery for retries, dead-letter, and redelivery
- Browser-safe streaming and signed webhooks
OpenComputer Use Cases
- Building coding agents that fix issues and open PRs
- Scaffolding full-stack applications (e.g., Next.js with auth and dashboard)
- Watching error trackers and triaging new issues
- Implementing durable multi-step workflows with human-in-the-loop steering
OpenComputer Pricing & Free Credits
OpenComputer currently operates on a Free, Freemium model.
Free TierFree Credits
Free
Free
Free credits to get started, no credit card required.
Paid Plans
Enterprise
Contact for pricing
Custom plans for teams and organizations; talk to founders.
OpenComputer Pros & Cons
Pros
- Simple three-call API to define and run durable agents
- Built-in crash recovery and state persistence
- Managed infrastructure reduces operational overhead
- Supports multiple popular agent runtimes (Claude, Codex)
Cons
- Relatively new product; limited third-party integrations
- Agent runtime options currently limited to a few models
- No self-hosting option mentioned; dependent on cloud service
What is OpenComputer best for?
- Developers building durable AI agents that need to survive crashes
- Teams looking for a managed solution to avoid DIY workflow engines and sandbox management
- Use cases requiring human interrupt and mid-run steering of agent sessions