🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration

Teams-first Multi-agent orchestration for Claude Code

"DeepTutor: Agent-Native Personalized Learning Assistant"

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity. Local and Free Alternative to Claude Cowork.

为你 7*24 在线搞钱的“云上牛马”团队

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

A model-driven approach to building AI agents in just a few lines of code.

🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

Harness LLMs with Multi-Agent Programming

[NeurIPS 2025] Open-source Multi-agent Poster Generation from Papers

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Real-time multi-AI collaboration: Claude, Codex & Gemini with persistent context, minimal token overhead