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

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.

Open-source platform to build and deploy AI agent workflows.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

🌊 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.

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!

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

Metorial MCP Containers - Containerized versions of hundreds of MCP servers 📡 🧠

MemU is an open-source memory framework for AI companions

Meet Ava, the WhatsApp Agent

🦾 Take control of your AI agents

When Philosophy meets AI

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。

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Lightweight Durable Python Workflows