@YFGaia
基本情報
Gaia-X 基于AI新范式的下一代企业级AI应用平台。Gaia-X旨在实现类人脑的、针对企业办公业务场景的AI化赋能，包括一系列新颖而稳定的企业级AI功能，包括不限于：企业级管理功能、MCP Server支持（且支持将企业内部系统API转换为MCP Server提供服务）、支持自然语言驱动的RPA（大模型操作电脑）、划词分析和悬浮球等。
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Gaia-X is a chatbot application platform designed for enterprise scenarios, built on a new AI paradigm. It addresses core pain points of existing AI products through enterprise management, MCP (Model Context Protocol) protocol support, multi-agent collaboration, natural language RPA, a human confirmation mechanism, and intelligent canvas rendering.
The platform consists of a client (Electron + React) and an admin backend (golang + Gin). The client handles MCP tool execution in isolated sandbox environments, while the backend manages model calls and authentication. At startup, the client completes login authentication (e.g., OAuth 2.0) via the admin center. MCP servers run independently on the client, and the client determines whether to call MCP tools based on response results.
Gaia-X is an enterprise AI application platform with MCP protocol support, multi-agent collaboration, natural language RPA, and human confirmation for sensitive operations. It includes a client and an admin backend for centralized management.
MCP servers run in isolated sandbox environments on the client. The admin backend does not call MCP tools directly; instead, the client determines if a function call is needed after receiving a response and executes MCP tools locally.
The platform supports OAuth 2.0, LDAP, DingTalk, and Feishu for unified authentication. The client completes login via an OAuth 2.0 flow that generates a JWT.
For ReAct, recommended models include Claude Sonnet 3.5+ and GPT 4o. For computer operations, models like Claude Sonnet 3.5+, Zhipu CogAgent, ByteDance UI-TARS, and OpenAI computer-use are integrated.
The client uses Electron, React, and Ant Design X. The admin backend uses golang, Gin framework (based on GVA), and Eino (ByteDance) for large model interaction. MCP servers can be implemented in Python or TypeScript.
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