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

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

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

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

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

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

Harness LLMs with Multi-Agent Programming

Koog is the official 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

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

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

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

A fast and lightweight framework for creating decentralized agents with ease.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-4.1 on the backend for inference.

Python implementation of a bunch of multi-robot path-planning algorithms.

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.

[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

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

The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.

AgentFlow: In-the-Flow Agentic System Optimization