Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

Harness LLMs with Multi-Agent Programming

Intelligent Social Systems and Swarm Robotics Lab (IS3R)

🤯 Mindstorm in Natural Language-based Societies of Mind

Gen AI Framework and Orchestration Engine. GenAI Goos.Flock emerges as a groundbreaking framework and orchestration engine, designed to seamlessly integrate and manage complex AI workflows. This innovative platform is the ultimate solution for organizations seeking to harness the full potential of Generative AI, Large Language Models (LLMs)

Simulation of Formula 1 championships to define which profile of a pilote is the most likely to lead to win

Mailer is a customized BDI-based agent architecture that extends the standard Jason agent by adding the ability to exchange messages via IMAP and SMTP e-mail protocols.

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

DALI Multi Agent System Framework

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

An artificial intelligence environment enabling users to watch simulated solutions to the original 1980's Pac-Man arcade game.

A framework for the creation of autonomous agent services.

Application toolkit based on the JADE framework. Functionalities for time aspects, agent environment interaction, visualization and load balancing, focusing on the usability for end users.

AI, IoT and Robotics Hardware + ROS

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

ROS-based multi-agent system for path planning and LiDAR SLAM mapping in dynamic environments.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Collaborative Dynamic 3D Scene Graphs for Automated Driving

Build high-performance AI models with modular building blocks