Production-ready platform for agentic workflow development.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Build AI Agents, Visually
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Open-source platform to build and deploy AI agent workflows.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing and MCP tools.
Optimizing inference proxy for LLMs
Connect any AI model to 600+ integrations; powered by MCP 📡 🚀
Memory infrastructure for LLMs and AI agents
Meet Ava, the WhatsApp Agent
AppPlatform 是一个前沿的大模型应用工程，旨在通过集成的声明式编程和低代码配置工具，简化和优化大模型的训练与推理应用的开发过程。本工程为软件工程师和产品经理提供一个强大的、可扩展的环境，以支持从概念到部署的全流程 AI 应用开发。
When Philosophy meets AI
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