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.

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

🌊 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.

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.

Maestro: Netflix’s Workflow Orchestrator

Memory infrastructure for LLMs and AI agents

Optimizing inference proxy for LLMs

Connect any AI model to 600+ integrations; powered by MCP 📡 🚀

Meet Ava, the WhatsApp Agent

When Philosophy meets AI