#自然语言处理#🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
#大语言模型#🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
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 ...
#大语言模型#Harness LLMs with Multi-Agent Programming
#大语言模型#A fast and lightweight framework for creating decentralized agents with ease.
Python implementation of a bunch of multi-robot path-planning algorithms.
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
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.
#自然语言处理#🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. https://oasis.camel-ai.org
Resources of our paper "FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces". New versions in the making!
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
翻译 - 多智能体强化学习组件和系统库
#计算机科学#[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
#计算机科学#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 be...
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
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
#计算机科学#Build high-performance AI models with modular building blocks
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 ...
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
#计算机科学#Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment