OmoiOS
by OmoiOS · Spec-to-pull-request agent pipeline that runs overnight
BenchRank score
Screenshots of OmoiOS
Homepage
Overview
OmoiOS turns a written feature spec into requirements, a design and an ordered plan, which you approve before agents execute the work in isolated cloud sandboxes. Agents write code, run tests and retry on failure, then open a pull request with each change linked back to the spec. It is Apache 2.0 licensed, self-hostable, and runs Anthropic or OpenAI models on your own keys.
- Best for
- Teams that want AI agents to turn an approved feature spec into a tested pull request overnight
- Pricing
- Free Starter tier, then $50/month for Pro and $150/month for Team; Enterprise is custom priced.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- Apache 2.0 licensed and self-hostable
- Free tier: 1 agent, 10 workflows a month, no card needed
- Agents run tests and retry failures before opening a PR
- Every change traces back to the originating spec
Trade-offs
- Model providers limited to Anthropic and OpenAI, via your own API keys
- Monthly workflow quotas cap throughput at 10, 100 or 500
- GitLab integration is marked as coming soon
- Written and maintained by a single developer
How OmoiOS markets itself
A structured read of the promise, proof and page design on OmoiOS’s captured homepage.
Homepage capture
“Write a spec. Go to bed. Wake up to a PR.”
- Angle: Autopilot / hands-off
- Hero: Product screenshot
Pricing
Published plans and prices from OmoiOS’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 OmoiOS 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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Is this your product?
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