Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

🦜🔗 The platform for reliable agents.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Build production-ready AI agents in both Python and Typescript.

Modular AI runtime for robots

✨ Build a machine learning model from a prompt

For your multi-agent needs

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

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

A parallel framework for population-based multi-agent reinforcement learning.

The fastest way to bring multi-agent workflows to production.

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

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

A ReAct-Based Highly Robust Autonomous Agent Framework.

[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Python Deep Agent framework built on top of Pydantic-AI designed to help you quickly build production-grade autonomous agents with planning, filesystem operations, subagent delegation, and skills.

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

Code for the paper Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration