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
<div align="center"> # 🔀 MMCP — Multi-Model Collaboration Pipeline **Orchestrate AI models as a coordinated DAG. RL routing · Multi-verifier voting · Agent mesh · Self-improving.** [](https://npmjs.com/package/mmcp-core) [](https://pypi.org/project/mmcp-core/) [](https://pypi.org/project/mmcp-core/) [](LICENSE) [](https://mmcp.up.railway.app/health) [](https://github.com/RagavRida/mmcp/stargazers) </div> --- <div align="center"> **MCP standardizes tool use for a single model.** **MMCP standardizes context flow *between* models.** </div> --- ## ⚡ 30-Second Quick Start ```bash pip install mmcp-core mmcp login mmcp run ``` That's it. Type a task, MMCP picks the best model + pattern automatically. ## 🧠 Domain-Aware RL Routing — The Right Model for Every Task 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** |
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型