multi-agent-systems

There are 634 repositories under multi-agent-systems topic.

  • camel-ai/owl

    🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

    Language:Python18.1k1293792.1k
  • camel

    camel-ai/camel

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

    Language:Python14.2k1181.2k1.6k

  • InternLM/MindSearch

    🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

    Language:JavaScript6.6k48208668

  • MervinPraison/PraisonAI

    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.

    Language:Python5.4k69304730
  • langroid

    langroid/langroid

    Harness LLMs with Multi-Agent Programming

    Language:Python3.7k28247349

  • camel-ai/oasis

    🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.

    Language:Python1.9k2182212

  • atb033/multi_agent_path_planning

    Python implementation of a bunch of multi-robot path-planning algorithms.

    Language:Python1.3k2013288

  • fetchai/uAgents

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

    Language:Python1.3k26112272

  • kaiban-ai/KaibanJS

    KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.

    Language:TypeScript1.2k9123123

  • asinghcsu/AgenticRAG-Survey

    Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

    1.1k100141
  • experts

    metaskills/experts

    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.

    Language:JavaScript1.1k111765

  • HITsz-TMG/FilmAgent

    Resources of our paper "FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces". New versions in the making!

    Language:Python1k4312141

  • instadeepai/Mava

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

    Language:Python83615460111

  • DerrickXuNu/OpenCOOD

    [ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

    Language:Python75713136115

  • zhaohaojie1998/Grey-Wolf-Optimizer-for-Path-Planning

    灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划

    Language:MATLAB5974741

  • DmitryRyumin/AAAI-2024-Papers

    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!

    Language:Python5937126
  • zeta

    kyegomez/zeta

    Build high-performance AI models with modular building blocks

    Language:Python55066753
  • VectorizedMultiAgentSimulator

    proroklab/VectorizedMultiAgentSimulator

    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.

    Language:Python46076390

  • star2dust/paper-simulation

    Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

    Language:MATLAB391101483

  • semitable/robotic-warehouse

    Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

    Language:Python37942482
  • crab

    camel-ai/crab

    🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

    Language:Python37343453

  • minqi/learning-to-communicate-pytorch

    Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

    Language:Python35515280

  • liuruoze/mini-AlphaStar

    (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

    Language:Python329143456

  • JosefAlbers/Phi-3-Vision-MLX

    Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon

    Language:Jupyter Notebook2727922

  • swarmzero/swarmzero

    SwarmZero's SDK for building AI agents, swarms of agents and much more.

    Language:Python2562249

  • MODSetter/gpt-instagram

    A GPT-based autonomous multi-agent AI in Next.js that research & recommends Instagram Viral Posts reflecting your personality.

    Language:TypeScript2415024

  • cjyyx/AI_Gen_Novel

    基于大语言模型(LLM)和多智能体(Multi-Agent)，探究AI写小说能力的边界

    Language:Python2375744
  • agents-aea

    fetchai/agents-aea

    A framework for autonomous economic agent (AEA) development

    Language:Python2323184278
  • cunicu

    cunicu/cunicu

    A zeroconf peer-to-peer mesh VPN using Wireguard® and Interactive Connectivity Establishment (ICE)

    Language:Go22198417

  • anuj0456/pilottai

    Python framework for building scalable multi-agent systems with built-in orchestration, LLM integration, and intelligent task processing. Features dynamic scaling, fault tolerance, and advanced load balancing.

    Language:Python219886

  • ArnaudFickinger/gym-multigrid

    Lightweight multi-agent gridworld Gym environment

    Language:Python2102343

  • Allenpandas/Tutorial4RL

    Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

    1685012

  • douthwja01/OpenMAS

    OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

    Language:MATLAB1418751

  • saisrivatsan/deep-opt-auctions

    Implementation of Optimal Auctions through Deep Learning

    Language:Jupyter Notebook1246238

  • NREL/PowerGridworld

    PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969

    Language:Python1228039

  • jonathanmli/Avalon-LLM

    This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'

    Language:Python1064312