Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
# MCP-native Secure AI Platform Simplify AI usage in your company, providing user-friendly MCP toolbox, observability and control built on a strong security foundation. <div align="center"> [](LICENSE) <img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/archestra-ai/archestra"/> <img alt="Github Last Commit" src="https://img.shields.io/github/last-commit/archestra-ai/archestra"/> [](https://github.com/archestra-ai/archestra/graphs/contributors) <p align="center"> <a href="https://www.archestra.ai/docs/platform-quickstart">Getting Started</a> - <a href="https://github.com/archestra-ai/archestra/releases">Releases</a> - <a href="https://archestra.ai/join-slack">Slack Community</a> </p> </div> _For Platform teams:_ - Mitigate MCP chaos, move MCP servers from individual machines to a centralized orchestrator - Manage how MCP access data and credentials usage - Mitigate data exfiltration risks - Manage AI costs - AI Observability _For Developers:_ - Deploy your MCP servers org-wide - Build and deploy agents without worrying about security _For Management:_ - Bring 1-click MCP adoption to the whole organization for technical and non-technical users - Reduce AI costs up to 96% - Get full visibility on AI adoption, usage and data access ## 🚀 Quickstart with docker ``` docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 \ -e ARCHESTRA_QUICKSTART=true \ -v /var/run/docker.sock:/var/run/docker.sock \ -v archestra-postgres-data:/var/lib/postgresql/data \ -v archestra-app-data:/app/data \ archestra/platform; ``` [Full Quickstart Guide →](https://archestra.ai/docs/platform-quickstart) ## 👩💻 DeepSeek-like chat with MCPs 🎁 with private company-wide prompt registry! <div align="center"> <img src="docs/assets/chat.webp" alt="DeepSeek-like c
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