EvoAgentX
ActiveDescription
Building a self-evolving ecosystem of AI agents with automatic optimization, role evolution, and multi-agent collaboration from single agent to complex systems.
Building a self-evolving ecosystem of AI agents with automatic optimization, role evolution, and multi-agent collaboration from single agent to complex systems.
An open-source multi-agent simulation platform where multiple LLM-powered agents collaborate on complex tasks in shared environments, with customizable roles, memory systems, and environment interaction for studying multi-agent collaboration.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations across providers like OpenAI, Anthropic, and AWS Bedrock.
An open-source Cultivation World Simulator using Agentic Workflow to create a dynamic, emerging Xianxia world. Showcases multi-agent collaboration in complex scenarios.
An accessible multi-agent sentiment analysis assistant that breaks filter bubbles, reveals true public opinion, and predicts trends — built from scratch without external frameworks.