Oh My OpenCode is a multi-model agent orchestration harness for OpenCode. It transforms a single AI agent into a coordinated development team that actually ships code.
Not locked to Claude. Not locked to OpenAI. Not locked to anyone.
Just better results, cheaper models, real orchestration.
Paste this into your LLM agent session:
Install and configure oh-my-opencode by following the instructions here:
https://raw.githubusercontent.com/code-yeongyu/oh-my-opencode/refs/heads/dev/docs/guide/installation.md
Or read the full Installation Guide for manual setup, provider authentication, and troubleshooting.
Once installed, just type:
ultrawork
That's it. The agent figures everything out — explores your codebase, researches patterns, implements the feature, verifies with diagnostics. Keeps working until done.
Want more control? Press Tab to enter Prometheus mode for interview-based planning, then run /start-work for full orchestration.
We used to call this "Claude Code on steroids." That was wrong.
This isn't about making Claude Code better. It's about breaking free from the idea that one model, one provider, one way of working is enough. Anthropic wants you locked in. OpenAI wants you locked in. Everyone wants you locked in.
Oh My OpenCode doesn't play that game. It orchestrates across models, picking the right brain for the right job. Claude for orchestration. GPT for deep reasoning. Gemini for frontend. Haiku for quick tasks. All working together, automatically.
Instead of one agent doing everything, Oh My OpenCode uses specialized agents that delegate to each other based on task type.
The Architecture:
User Request
↓
[Intent Gate] — Classifies what you actually want
↓
[Sisyphus] — Main orchestrator, plans and delegates
↓
├─→ [Prometheus] — Strategic planning (interview mode)
├─→ [Atlas] — Todo orchestration and execution
├─→ [Oracle] — Architecture consultation
├─→ [Librarian] — Documentation/code search
├─→ [Explore] — Fast codebase grep
└─→ [Category-based agents] — Specialized by task type
When Sisyphus delegates to a subagent, it doesn't pick a model name. It picks a category — visual-engineering, ultrabrain, quick, deep. The category automatically maps to the right model. You touch nothing.
For a deep dive into how agents collaborate, see the Orchestration System Guide.
Named after the Greek myth. He rolls the boulder every day. Never stops. Never gives up.
Sisyphus is your main orchestrator. He plans, delegates to specialists, and drives tasks to completion with aggressive parallel execution. He doesn't stop halfway. He doesn't get distracted. He finishes.
Recommended models:
- Claude Opus 4.6 — Best overall experience. Sisyphus was built with Claude-optimized prompts.
- Claude Sonnet 4.6 — Good balance of capability and cost.
- Kimi K2.5 — Great Claude-like alternative. Many users run this combo exclusively.
- GLM 5 — Solid option, especially via Z.ai.
Sisyphus has Claude-optimized prompts. No GPT prompt exists for Sisyphus. Claude-family models work best because that's what the prompts were engineered for.
Named with intentional irony. Anthropic blocked OpenCode from using their API because of this project. So the team built an autonomous GPT-native agent instead.
Hephaestus runs on GPT-5.3 Codex. Give him a goal, not a recipe. He explores the codebase, researches patterns, and executes end-to-end without hand-holding. He is the legitimate craftsman because he was born from necessity, not privilege.
Use Hephaestus when you need deep architectural reasoning, complex debugging across many files, or cross-domain knowledge synthesis. Switch to him explicitly when the work demands GPT-5.3 Codex's particular strengths.
Why this beats vanilla Codex CLI:
- Multi-model orchestration. Pure Codex is single-model. OmO routes different tasks to different models automatically. GPT for deep reasoning. Gemini for frontend. Haiku for speed. The right brain for the right job.
- Background agents. Fire 5+ agents in parallel. Something Codex simply cannot do. While one agent writes code, another researches patterns, another checks documentation. Like a real dev team.
- Category system. Tasks are routed by intent, not model name.
visual-engineeringgets Gemini.ultrabraingets GPT-5.3 Codex.quickgets Haiku. No manual juggling. - Accumulated wisdom. Subagents learn from previous results. Conventions discovered in task 1 are passed to task 5. Mistakes made early aren't repeated. The system gets smarter as it works.
Prometheus interviews you like a real engineer. Asks clarifying questions. Identifies scope and ambiguities. Builds a detailed plan before a single line of code is touched.
Press Tab to enter Prometheus mode, or type @plan "your task" from Sisyphus.
Atlas executes Prometheus plans. Distributes tasks to specialized subagents. Accumulates learnings across tasks. Verifies completion independently.
Run /start-work to activate Atlas on your latest plan.
Read-only high-IQ consultant for architecture decisions and complex debugging. Consult Oracle when facing unfamiliar patterns, security concerns, or multi-system tradeoffs.
- Metis — Gap analyzer. Catches what Prometheus missed before plans are finalized.
- Momus — Ruthless reviewer. Validates plans against clarity, verification, and context criteria.
- Explore — Fast codebase grep. Uses speed-focused models for pattern discovery.
- Librarian — Documentation and OSS code search. Stays current on library APIs and best practices.
- Multimodal Looker — Vision and screenshot analysis.
Type ultrawork or just ulw. That's it.
The agent figures everything out. Explores your codebase. Researches patterns. Implements the feature. Verifies with diagnostics. Keeps working until done.
This is the "just do it" mode. Full automatic. You don't have to think deep because the agent thinks deep for you.
Press Tab to enter Prometheus mode.
Prometheus interviews you like a real engineer. Asks clarifying questions. Identifies scope and ambiguities. Builds a detailed plan before a single line of code is touched.
Then run /start-work and Atlas takes over. Tasks are distributed to specialized subagents. Each completion is verified independently. Learnings accumulate across tasks. Progress tracks across sessions.
Use Prometheus for multi-day projects, critical production changes, complex refactoring, or when you want a documented decision trail.
Different agents work best with different models. Oh My OpenCode automatically assigns optimal models, but you can customize everything.
Models are auto-configured at install time. The interactive installer asks which providers you have, then generates optimal model assignments for each agent and category.
At runtime, fallback chains ensure work continues even if your preferred provider is down. Each agent has a provider priority chain. The system tries providers in order until it finds an available model.
You can override specific agents or categories in your config:
Claude-like models (instruction-following, structured output):
- Claude Opus 4.6, Claude Sonnet 4.6, Claude Haiku 4.5
- Kimi K2.5 — behaves very similarly to Claude
- GLM 5 — Claude-like behavior, good for broad tasks
GPT models (explicit reasoning, principle-driven):
- GPT-5.3-codex — deep coding powerhouse, required for Hephaestus
- GPT-5.2 — high intelligence, default for Oracle
- GPT-5-Nano — ultra-cheap, fast utility tasks
Different-behavior models:
- Gemini 3 Pro — excels at visual/frontend tasks
- MiniMax M2.5 — fast and smart for utility tasks
- Grok Code Fast 1 — optimized for code grep/search
See the Agent-Model Matching Guide for complete details on which models work best for each agent, safe vs dangerous overrides, and provider priority chains.
Claude Code is good. But it's a single agent running a single model doing everything alone.
Oh My OpenCode turns that into a coordinated team:
Parallel execution. Claude Code processes one thing at a time. OmO fires background agents in parallel — research, implementation, and verification happening simultaneously. Like having 5 engineers instead of 1.
Hash-anchored edits. Claude Code's edit tool fails when the model can't reproduce lines exactly. OmO's LINE#ID content hashing validates every edit before applying. Grok Code Fast 1 went from 6.7% to 68.3% success rate just from this change.
Intent Gate. Claude Code takes your prompt and runs. OmO classifies your true intent first — research, implementation, investigation, fix — then routes accordingly. Fewer misinterpretations, better results.
LSP + AST tools. Workspace-level rename, go-to-definition, find-references, pre-build diagnostics, AST-aware code rewrites. IDE precision that vanilla Claude Code doesn't have.
Skills with embedded MCPs. Each skill brings its own MCP servers, scoped to the task. Context window stays clean instead of bloating with every tool.
Discipline enforcement. Todo enforcer yanks idle agents back to work. Comment checker strips AI slop. Ralph Loop keeps going until 100% done. The system doesn't let the agent slack off.
The fundamental advantage. Models have different temperaments. Claude thinks deeply. GPT reasons architecturally. Gemini visualizes. Haiku moves fast. Single-model tools force you to pick one personality for all tasks. Oh My OpenCode leverages them all, routing by task type. This isn't a temporary hack — it's the only architecture that makes sense as models specialize further. The gap between multi-model orchestration and single-model limitation widens every month. We're betting on that future.
Before acting on any request, Sisyphus classifies your true intent.
Are you asking for research? Implementation? Investigation? A fix? The Intent Gate figures out what you actually want, not just the literal words you typed. This means the agent understands context, nuance, and the real goal behind your request.
Claude Code doesn't have this. It takes your prompt and runs. Oh My OpenCode thinks first, then acts.
- Installation Guide — Complete setup instructions, provider authentication, and troubleshooting
- Orchestration Guide — Deep dive into agent collaboration, planning with Prometheus, and execution with Atlas
- Agent-Model Matching Guide — Which models work best for each agent and how to customize
- Configuration Reference — Full config options with examples
- Features Reference — Complete feature documentation
- Manifesto — Philosophy behind the project
Ready to start? Type ultrawork and see what a coordinated AI team can do.
{ "$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-opencode/dev/assets/oh-my-opencode.schema.json", "agents": { // Main orchestrator: Claude Opus or Kimi K2.5 work best "sisyphus": { "model": "kimi-for-coding/k2p5", "ultrawork": { "model": "anthropic/claude-opus-4-6", "variant": "max" } }, // Research agents: cheaper models are fine "librarian": { "model": "zai-coding-plan/glm-4.7" }, "explore": { "model": "github-copilot/grok-code-fast-1" }, // Architecture consultation: GPT or Claude Opus "oracle": { "model": "openai/gpt-5.2", "variant": "high" } }, "categories": { // Frontend work: Gemini dominates visual tasks "visual-engineering": { "model": "google/gemini-3-pro", "variant": "high" }, // Quick tasks: use the cheapest models "quick": { "model": "anthropic/claude-haiku-4-5" }, // Deep reasoning: GPT-5.3-codex "ultrabrain": { "model": "openai/gpt-5.3-codex", "variant": "xhigh" } } }