42K developers run 7 AI agents at once with this harness
Oh My OpenAgent orchestrates Claude, GPT, Gemini, and Kimi agents in parallel — fixing a core editing bug that plagued every AI coding tool. 42K GitHub stars.
A single developer spent $24,000 on AI coding subscriptions, tested every tool on the market, and distilled the results into one open-source project. Oh My OpenAgent (OmO) just crossed 42,000 GitHub stars and 1.2 million downloads — making it one of the fastest-growing AI coding projects this year.
The core idea: instead of locking you into one AI provider, OmO runs 7 specialized agents in parallel, each powered by whichever AI model is best for that task. Think of it as a virtual engineering team where each member has a different specialty.
One command, seven agents working together
OmO's headline feature is Ultrawork — type one keyword and the system spins up a full team of AI agents that work simultaneously until your task is done. Each agent has a name and a role:
The agent roster:
Sisyphus — the orchestrator. Plans the work, delegates tasks, and refuses to stop halfway through.
Hephaestus — the deep worker. Handles complex end-to-end coding without hand-holding.
Prometheus — the strategic planner. Interviews you about scope before anyone writes a line of code.
Oracle, Librarian, Explore — specialists for architecture review, documentation, and codebase analysis.
Each agent routes to whichever AI model fits best. Visual tasks go to Claude Opus 4.6. Deep refactoring goes to GPT-5.3 Codex. Quick fixes go to Kimi K2.5. The system costs as little as $21/month across providers — cheaper than a single premium subscription.
The edit bug that plagued every AI coder — fixed
Every AI coding tool struggles with the same problem: the AI tries to edit a line of code that has already changed. The edit fails, the AI retries, and the loop burns through your token budget.
OmO invented a technique called Hash-Anchored Editing. Every line of code gets a unique content hash (think of it like a fingerprint). Before any edit is applied, the system checks whether the fingerprint still matches. If the code has changed, it automatically finds the new location.
The result: edit success rate jumped from 6.7% to 68.3% — a 10x improvement over standard AI editing.
No vendor lock-in — by design
The project's philosophy is explicit: "No single AI provider will dominate the market. Frontier models improve monthly." OmO works with Claude, GPT, Gemini, Kimi, GLM, and MiniMax simultaneously. If one provider has an outage or raises prices, your workflow keeps running.
It also includes built-in integrations for web search (Exa), documentation lookup (Context7), and GitHub search — all accessible through MCP (Model Context Protocol, a standard way for AI to use external tools).
What people are saying
"It made me cancel my Cursor subscription. Unbelievable things are happening." — Arthur Guiot
"Knocked out 8,000 ESLint warnings in a day." — Jacob Ferrari
"If Claude Code does in 7 days what a human does in 3 months, Sisyphus does it in 1 hour." — B, quant researcher
Who should try this
If you already use an AI coding tool (Claude Code, Cursor, Codex) and feel limited by a single model's strengths, OmO lets you combine the best of each. If you manage a team, the parallel agent system can tackle review, documentation, and bug-hunting simultaneously.
Minimum cost: ChatGPT ($20) + Kimi Code ($0.99) + GLM ($10) = ~$31/month for multi-model orchestration.
Get started
Paste this into your AI coding agent to install:
curl -s https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/refs/heads/dev/docs/guide/installation.mdOr visit the GitHub repository for full documentation. The project uses the SUL-1.0 license and has 105 contributors and 1,876 commits.
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