AI Agent

OpenComputer

A platform for building and running durable AI agents with managed sessions, event logging, and automatic crash recovery.

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OpenComputer

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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

Pricing ModelFree, FreemiumFree, FreemiumFreeFree
Free Credits
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
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Simple three-call API to define and run durable agents
  • Built-in crash recovery and state persistence
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Relatively new product; limited third-party integrations
  • Agent runtime options currently limited to a few models
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
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
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

How to use OpenComputer?

  1. 1Define an agent by specifying name, model, prompt, and runtime (e.g., Claude Agent SDK or Codex).
  2. 2Start a session with an input — the event log begins journaling and a client token is returned.
  3. 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.

Free

Free

Free credits to get started, no credit card required.

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

OpenComputer FAQ

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