Spring AI
✨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 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.
Next-generation personal and enterprise AI assistant platform powered by LLM, RAG, and agent loops, featuring multi-channel gateways, visual BPMN workflow orchestration, and multi-tenant isolation.
A plugin-based rich-text editor framework for React, built on Slate.js, with integrated AI writing, MCP compatibility, and shadcn/ui components.
A super AI agent framework powered by LLMs, supporting multi-channel access (WeChat/Feishu/DingTalk/etc.) with autonomous task planning, long-term memory, knowledge base, and skills system
Open-source enterprise AI application platform providing Agentic RAG, custom Agents, Deep Research, code execution, and multi-client access as an all-in-one generative AI gateway.
Enterprise-grade RAG Agent platform built on Java 17 + Spring Boot 3 + React 18, featuring multi-channel retrieval, intent recognition, conversation memory, model fault tolerance, and MCP tool integration.
A text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis optimized for Apple Silicon.
A browser-based platform that enables you to configure, deploy, and run autonomous AI agents that can work toward any goal you set.
An AI-powered chat-based wiki knowledge tool that supports collaborative editing and intelligent Q&A features.
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