🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
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Updated
Dec 18, 2024 - Python
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Start building LLM-empowered multi-agent applications in an easier way.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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, Grok, etc., chat bot demo: https://demo.casibase.com, admin UI demo: https://demo-admin.casibase.com
PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human–agent collaboration.
A Platform for Many-Agent Reinforcement Learning
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
This is the official implementation of Multi-Agent PPO (MAPPO).
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Awesome Game AI materials of Multi-Agent Reinforcement Learning
A library for generative social simulation
🐝 GPTSwarm: LLM agents as (Optimizable) Graphs
An Innovative Agent Framework Driven by KG Engine
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
A collection of multi agent environments based on OpenAI gym.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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