BenchRank
#27 in Code AssistantsUpdated 2026-08

OmoiOS

by OmoiOS · Spec-to-pull-request agent pipeline that runs overnight

35 — BenchRank score out of 100

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  • Pricing page

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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

Pricing

Published plans from OmoiOS’s own pricing page, in USD. Usage charges and add-ons may apply on top.

OmoiOS pricing tiers, monthly rates in USD
PlanMonthlyIncludes
StarterFree
  • 1 concurrent agent
  • 10 workflows per month
  • 2 GB storage
  • Community support
Pro$50
  • 5 concurrent agents
  • 100 workflows per month
  • 50 GB storage
  • Bring your own Anthropic or OpenAI keys
Team$150
  • 10 concurrent agents
  • 500 workflows per month
  • 500 GB storage
  • Role-based access and dedicated support
EnterpriseContact sales
  • Unlimited agents
  • Custom SLAs
  • On-premise deployment options
  • Dedicated support

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
0 out of 100
API quality
0 out of 100
Documentation
70 out of 100
Agent friendliness
79 out of 100
Changelog
60 out of 100
Marketing site structure
40 out of 100
Operational trust
25 out of 100

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
85 out of 100
Maintenance
85 out of 100

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