Multi-Model Collaboration Pipeline — orchestrate AI models as a DAG. RL routing, multi-verifier voting, agent mesh, self-improving. Works with OpenAI, Anthropic, Gemini, DeepSeek. npm install mmcp-core | pip install mmcp-core
Orchestrate AI models as a coordinated DAG. RL routing · Multi-verifier voting · Agent mesh · Self-improving.
</div>MCP standardizes tool use for a single model. MMCP standardizes context flow between models.
</div>pip install mmcp-core
mmcp login
mmcp run
That's it. Type a task, MMCP picks the best model + pattern automatically.
MMCP doesn't just pick a model — it learns per domain which model performs best, then routes automatically. When models get updated, benchmark results feed back into the router.
| Your Task | Domain Detected | Model Selected | Domain Score |
|---|---|---|---|
| "Write a Python API with auth" | code_generation | GPT-4o | 0.96 |
| "Debug this React component" | code_review | Claude Sonnet | 0.91 |
| "Prove this calculus theorem" | math_reasoning | DeepSeek R1 | 0.92 |
| "Write a blog post about AI" | creative_writing | Claude Sonnet | 0.90 |
| "Find SQL injection in this code" | security | Claude Opus |
Open-source AI coding agent for the terminal. Claude Code-grade accuracy with smart model routing — uses the right AI model for each task, cutting costs 10x. Supports Claude, GPT, Gemini, DeepSeek & more.
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