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, FreemiumFreeFree, Free TrialFree, Paid
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
  • On-device text extraction from screen without saving screenshots
  • Semantic search by meaning, not just keywords
  • Commitment detection with due-date reminders
  • Plain English strategy description
  • Real historical market data
  • Models slippage, stops, and fills
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
Pros
  • Simple three-call API to define and run durable agents
  • Built-in crash recovery and state persistence
  • Fully on-device processing ensures complete privacy
  • Free and open source with no subscription
  • Easy natural language interface
  • Realistic backtesting with slippage and funding
  • Open source with MIT license
  • Real-time detection and prevention
Cons
  • Relatively new product; limited third-party integrations
  • Agent runtime options currently limited to a few models
  • Mac-only, requires macOS 15+ and Apple Silicon
  • Permission re-authorization needed after updates (macOS limitation)
  • Limited free trial (250 calls, 30 days)
  • Usage beyond trial requires contacting support
  • Enterprise features require paid tiers
  • Setup may require technical expertise
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
  • Individuals who want to remember everything they see on their Mac
  • Professionals and students needing to track commitments and changes
  • Crypto traders
  • Quantitative researchers
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security

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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