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

A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.

AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models

Synthora is a lightweight, extensible framework for LLM-driven agents and ALM research. It provides the essential components to build, test, and evaluate agents, enabling you to assemble an agent with a single configuration file. Our goal is to minimize effort while delivering robust functionality.

Exploring techniques to generate diverse conventions in multi-agent settings

Cooperation and Fairness in Multi-Agent Reinforcement Learning

A space for comprehensive learning of agent-based software architectures. Progressive tutorials from reactive agents to AI-driven distributed systems. SPADE, Mesa, custom architectures with modern Python.

CCNETS is uniquely crafted to emulate brain-like information processing and comprises three main components: explainer, producer, and reasoner. Each component is designed to mimic specific brain functions, which aids in generating high-quality datasets and enhancing the classification performance

machine learning for blockchain

Constructive Mutual Prediction Model: A model that enables agents to structurally predict each other’s states and behaviors through mutual feedback and shared modeling, enhancing coordinated AI actions. 構成的相互予測モデル： 複数エージェントが構造的フィードバックと共通モデルにより互いの状態や行動を予測し、協調的なAI動作を実現する理論です。共進化や群知能への応用が可能です。