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

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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

✨ Build a machine learning model from a prompt

For your multi-agent needs

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

A compilation of the best multi-agent papers

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

Desktop app and API created in public for multi-agent Claude Code orchestration - coordinate local and remote agents through @mentions.

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

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

An Awesome List of Agentic Model trained with Reinforcement Learning

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

Modular AI runtime for robots

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.🤖️

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》