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Repo containing code for multi-agent deep reinforcement learning (MADRL).

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

AI Multi-Agent Framework in .NET

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A suite of test scenarios for multi-agent reinforcement learning.

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

Multi-Agent Reinforcement Learning with JAX

🧙‍AutoDev: the AI-native Multi-Agent development platform built on Kotlin Multiplatform, covering all 7 phases of SDLC.

Harness LLMs with Multi-Agent Programming

AI short drama & micro-drama video generator — turns any idea into a complete short-form drama using multi-agent AI pipeline (screenwriter → storyboard → frames → video). Seedance 2 VIP, Kling 3.0 Pro, Veo 3.1, Sora 2.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration

Multi-Agent Deep Reinforcement Learning (MA-DRL) Routing Simulator for satellite networks

Reliable Multi-Agent Orchestration Framework

An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

Projects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).

Easiest and laziest way for building multi-agent LLMs applications.

Dimensional is the agentic operating system for physical space. Command humanoids, quadrupeds, drones, and other hardware platforms in natural language and build multi-agent systems that work seamlessly with physical input (cameras, lidar, actuators).

CocoPlus is an Agentic Operating System for Snowflake Coco. It brings structured, multi-agent workflows to data engineering projects — covering everything from project initialization through spec, plan, build, test, review, and ship phases.

The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.

TradingAgents: Multi-Agents LLM Financial Trading Framework

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.

LightAgent: Lightweight AI agent framework with memory, mcp & skill. Supports multi-agent collaboration, self-learning, and major LLMs (OpenAI/DeepSeek/Qwen). Open-source with MCP/SSE protocol integration.

This is a lightweight agent framework for Rust that integrates smoothly with a variety of systems. It offers a clear and straightforward foundation for building and managing multi-agent solutions with zk proof functions.

Universal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.

Distributed Announce and Discovery of Multi-Agentic-Systems

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

Chat application with multi-agents system supports multi-models and MCP