OpenComputer
by OpenComputer · Persistent VMs that hibernate and wake, for durable agent runs
BenchRank score
Screenshots of OpenComputer
Homepage
Overview
OpenComputer runs AI agents on persistent virtual machines that hibernate between turns and wake with state intact, so a run resumes after a crash, disconnect or redeploy. An agent is a source-controlled directory holding its identity, instructions, tools, connections and durable workspace, deployed to a stable agent ID that aliases immutable deployments. The VMs are also sold on their own.
- Best for
- Developers deploying LLM agents that must survive crashes, and teams wanting bare persistent VMs
- Pricing
- VM compute is billed by usage: $0.004 per minute ($0.24 per hour, quoted as $168.72 per month) for 4 GB and 1 vCPU, with 20 GB disk included and $0.0000001 per GB-second of disk; volume discounts are by enquiry.
- Runs on
- WebSelf-hostedCLI
Strengths and trade-offs
Strengths
- Sessions hibernate when idle and wake with state intact
- Full VM with filesystem and OS access, not a container
- Resize memory and CPU on a running VM without restarting
- Per-minute billing; you pay only while the VM runs
Trade-offs
- Published sizing slider stops at 16 GB memory
- One 4 GB VM left running is quoted at $168.72 per month
- Agent product is gated — the site asks you to talk to the team
- Local development is described only via OpenCode
How OpenComputer markets itself
A structured read of the promise, proof and page design on OpenComputer’s captured homepage.
Homepage capture
“A home for your agents.”
- Angle: Developer-first
- Hero: Terminal / CLI
Pricing
Published plans and prices from OpenComputer’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The OpenComputer pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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