OmoiOS

About OmoiOS

Open-source orchestration runtime that turns specs into PRs using parallel agent swarms in isolated sandboxes. If you find OmoiOS useful, consider giving it a star — it helps others discover the project. The Problem AI coding agents are powerful individually, but using them at scale is a mess. You paste a prompt, wait, review, paste another prompt, fix wha

agent-framework ai-agents ai-developer-tools anthropic claude claude-agent-sdk claude-code code-agents developer-tools dspy

Quick Facts

Stars	64
Forks	6
Language	Python
Category	MCP Server
License	Apache-2.0
Quality Score	64.2603667833638/100
Open Issues	17
Last Updated	2026-06-18
Created	2025-11-16
Platforms	claude-code, codex, gemini, mcp, python
Est. Tokens	~18k

Compatible Skills

These tools work well together with OmoiOS for enhanced workflows:

LiteMultiAgent — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
AssemblyZero — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is OmoiOS?

OmoiOS is Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolated sandboxes, DAG dependencies. Open-source, self-hostable, model-agnostic (Claude / Gemin. It is categorized as a MCP Server with 64 GitHub stars.

What programming language is OmoiOS written in?

OmoiOS is primarily written in Python. It covers topics such as agent-framework, ai-agents, ai-developer-tools.

How do I install or use OmoiOS?

You can find installation instructions and usage details in the OmoiOS GitHub repository at github.com/kivo360/OmoiOS. The project has 64 stars and 6 forks, indicating an active community.

What license does OmoiOS use?

OmoiOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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