An Application Framework for AI Engineering, providing unified abstractions for multiple AI models and vector stores, supporting RAG, Function Calling, and other enterprise AI application patterns.
An enterprise-grade multi-agent AI assistant platform for teams, building a "second brain" through multi-model failover, MCP protocol, and multi-channel support.
A team collaboration MCP server designed for the AI coding era, enabling all AI assistants to share requirement analysis results and knowledge base, with support for Axure prototype parsing, UI design viewing, and team message board.
A complete enterprise-grade MCP (Model Context Protocol) platform featuring server hosting, a unified registry, a secure gateway, and a chat client with built-in RAG, supporting both Docker and Kubernetes deployments.
An enterprise-grade, API-first LLM workspace for unstructured documents, featuring data extraction, redaction, rights management, prompt playground, and more! Self-hosted, AI-powered, and built for teams who need to own their data.
Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On, supporting integration with multiple mainstream AI models.
Production-grade platform for building multi-platform LLM bots with Agent capabilities, knowledge base organization, and plugin system. Supports integration with QQ, QQ Channels, Discord, LINE, WeChat, Feishu, DingTalk, Slack and other messaging platforms。
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