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

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

AI-powered CLI for background agents

Open Source TypeScript AI Agent Framework with built-in LLM Observability

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

✨ Build a machine learning model from a prompt

Modular AI runtime for robots

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

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.

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

Awesome List for Agentic RL

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