微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
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.
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
✨ Fully autonomous AI Agents system capable of performing complex penetration testing tasks
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
AI-driven development workflow system built on Claude Code Sub-Agents.
[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
An SDK for multi-agent collaborative perception.
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement, ASE 2024 (Distinguished Paper Award)
A general AI agent framework that can be adapted to various tasks and environments.
Multi-Agent DRiving Simulator
Official repository of the paper "Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms"
Autonomous agent substrate for Claude Code CLI. Research→Plan→Implement workflows with quality gates, TDD enforcement, and multi-agent coordination. 4.8-5.5x faster development. Built on Anthropic's engineering research.
📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
Image classification using reinforcement learning and multi-agent system
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