Trending repositories for topic multi-agent
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
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 ...
Start building LLM-empowered multi-agent applications in an easier way.
AI Cloud: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, G...
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more—seamlessly leveraging RAG and extensible modules.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
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 ...
This is the official implementation of Multi-Agent PPO (MAPPO).
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more—seamlessly leveraging RAG and extensible modules.
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 ...
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
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 ...
Start building LLM-empowered multi-agent applications in an easier way.
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
AI Cloud: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, G...
This is the official implementation of Multi-Agent PPO (MAPPO).
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
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 ...
Start building LLM-empowered multi-agent applications in an easier way.
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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 ...
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, deb...
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
Source code of our paper "Multi-Agent Consensus Seeking via Large Language Models".
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
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 ...
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, deb...
Negotiation Multi-Agent System (A negotiation library designed for situated negotiations within business-like simulations)
Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more—seamlessly leveraging RAG and extensible modules.
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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 ...
LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment...
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
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 ...
Start building LLM-empowered multi-agent applications in an easier way.
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
AI Cloud: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, G...
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
This is the official implementation of Multi-Agent PPO (MAPPO).
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
A production-grade multi-agent system for comprehensive medical diagnosis and coding using specialized AI agents.
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.
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 ...
A collection of pre-build wrappers over common RAG systems like ChromaDB, Weaviate, Pinecone, and othersz!
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more—seamlessly leveraging RAG and extensible modules.
Welcome to **FluidAPI**, a framework that allows you to interact with APIs using **natural language**. No more JSON, headers, or complex formats—simply describe your request in plain English, and Flui...
ZenModel is a framework for building LLM applications with agentic workflow
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, deb...
Source code of our paper "Multi-Agent Consensus Seeking via Large Language Models".
An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.
A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications
An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, trackin...
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 ...
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
AUITestAgent is the first automatic, natural language-driven GUI testing tool for mobile apps, capable of fully automating the entire process of GUI interaction and function verification.
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, deb...
Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more—seamlessly leveraging RAG and extensible modules.
An opinionated, Agentic Engineering toolbox powered by LLM Agents to solve problems autonomously.
Agentica: Effortlessly Build Intelligent, Reflective, and Collaborative Multimodal AI Agents! 轻松构建智能、具备反思能力、可协作的多模态AI Agent。
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment...
Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
ZenModel is a framework for building LLM applications with agentic workflow
A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research based on Minetest
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Start building LLM-empowered multi-agent applications in an easier way.
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 ...
AI Cloud: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, G...
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
This is the official implementation of Multi-Agent PPO (MAPPO).
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Start building LLM-empowered multi-agent applications in an easier way.
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, deb...
Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"
An opinionated, Agentic Engineering toolbox powered by LLM Agents to solve problems autonomously.
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research based on Minetest
CAMEL framework-based multi-agent system for task-driven and dynamic environments
Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
Welcome to **FluidAPI**, a framework that allows you to interact with APIs using **natural language**. No more JSON, headers, or complex formats—simply describe your request in plain English, and Flui...
Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a mo...
An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, trackin...
A production-grade multi-agent system for comprehensive medical diagnosis and coding using specialized AI agents.
Generalist Software Agents to Solve Soware Engineering Tasks
Orchestration framework allowing to execute dynamic grains configurations to create a meta agent cluster only limited by grains implementations.
Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more—seamlessly leveraging RAG and extensible modules.