There are 7 repositories under multi-agents topic.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Deploy your agentic worfklows to production
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
[FORGE 2025] Incorporating Agile methodology into agents to create complex real-world softwares
🔧 Repair JSON!Solution for JSON Anomalies from LLMs.
Open-source framework to make AI agents' team collaboration as effective as human collaboration.
ChocoBuilder (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。
Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
🌟 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.
A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.
PyTorch agents and tools for (Deep) Reinforcement Learning
A powerful AI-powered newsletter aggregator built with KaibanJS and React.
Swarm for Ollama. OpenAI Framework to build/orchestrate/deploy multi-agent systems. Working offline with Ollama
An Agent-Based Financial Platform. See how evolve agents in a realistic double auction order book
This repository provides a flexible and customizable implementation of an advanced conversational AI agent, allowing you to leverage the capabilities of your preferred LLM provider without the need for additional libraries.
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.
Build, deploy, and orchestrate AI agents at scale with ease. Swarms API provides a comprehensive suite of endpoints for creating and managing multi-agent systems.
⽊ a lightweight agentic framework for deepseek-r1
NeurIPS workshop : We examine the risk of powerful malignant intelligent actors spreading their influence over networks of agents with varying intelligence and motivations.
Interprets multi-agent knowledge-based programs to solve puzzles like the Muddy Children Problem
Boilerplate for multi-LLM agent applications using Langchain v3 with multi-model reasoning capabilities.
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
🎮 A Simulator for Biology Invasion Studies
Develop an intuition about Large Language Models (LLMs)
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.
Projeto de Xadrez(like-chess) com Multi-Agentes
procedural reasoning datasets