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.
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.
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.
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.
**Multi-model orchestration.** Pure Codex is single-model. Oh My OpenCode routes different tasks to different models automatically. GPT for deep reasoning. Gemini for frontend. Haiku for speed tasks. 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. `category="visual-engineering"` gets Gemini. `category="ultrabrain"` gets GPT-5.3 Codex. `category="quick"` gets 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.
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.
The agent figures everything out. Explores your codebase. Researches patterns. Implements the feature. Verifies with diagnostics. Keeps working until done.
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.
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.