ModelScope-Agent: An agent framework connecting models in ModelScope with the world

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Open-source framework to make AI agents' team collaboration as effective as human collaboration.

Chocolate Factory is a cutting-edge LLM toolkit designed to empower you in creating your very own AI assistant.Chocolate Factory 是一款开源的 LLM 应用开发框架，旨在帮助您轻松打造强大的软件开发 SDLC + LLM 生成助手。无论您是需要生成前端页面、后端 API、SQL 图表，还是测试用例数据，Chocolate Factory 都能满足您的需求。

MAGNet: Multi-agents control using Graph Neural Networks

Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.

🔧 Repair JSON！Solution for JSON Anomalies from LLMs.

🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.

MultiAgent Chat UI

PyTorch agents and tools for (Deep) Reinforcement Learning

An Agent-Based Financial Platform. See how evolve agents in a realistic double auction order book

The AdLeap-MAS project proposes a new framework for implementing and simulating Ad-hoc reasoning environments. Built 100% in Python using the Open-AI Gym as its basis, we propose a component-based architecture to enable quick implementations to perform multi-agents systems experiments.

NeurIPS workshop : We examine the risk of powerful malignant intelligent actors spreading their influence over networks of agents with varying intelligence and motivations.

Operation X(twitter、reddit、bilibili、PH) use Multi-Agents automatically

Interprets multi-agent knowledge-based programs to solve puzzles like the Muddy Children Problem

containing all kinds of algorithms about multi-agents or multi-vehicles in various levels, including communication level, prediction level, task level, plan level and control level.

My solution to Udacity Deep Reinforcement Learning Nanodegree 's Project 3 - Collaboration and Competition

Multiplayer Game, Security, DF Service Implementation, Genetic Algorithm Implementation, Multi-Agent Systems Enhanced With Q-Learning Implementation For Improved Decision-Making.

Implemented AI Multi Agent Search Algorithms - Minimax, Expectimax, Alpha-Beta Pruning, Evaluation Functions.

multi-agents xr security