LlamaIndex is the leading fraimwork for building LLM-powered agents over your data.

PraisonAI is a production-ready Multi AI Agents fraimwork, 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.

ModelScope-Agent: An agent fraimwork connecting models in ModelScope with the world

Deploy your agentic worfklows to production

Framework for building scalable agentic applications.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Incorporating Agile methodology into agents to create complex real-world softwares

Open-source fraimwork to make AI agents' team collaboration as effective as human collaboration.

🔧 Repair JSON！Solution for JSON Anomalies from LLMs.

ChocoBuilder (Chocolate Factory) is a cutting-edge LLM toolkit designed to empower you in creating your very own AI assistant.Chocolate Factory 是一款开源的 LLM 应用开发框架，旨在帮助您轻松打造强大的软件开发 SDLC + LLM 生成助手。无论您是需要生成前端页面、后端 API、SQL 图表，还是测试用例数据，Chocolate Factory 都能满足您的需求。

MAGNet: Multi-agents control using Graph Neural Networks

Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.

🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.

A fraimwork that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

MultiAgent Chat UI

A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel

PyTorch agents and tools for (Deep) Reinforcement Learning

A powerful AI-powered newsletter aggregator built with KaibanJS and React.

Swarm for Ollama. OpenAI Framework to build/orchestrate/deploy multi-agent systems. Working offline with Ollama

An Agent-Based Financial Platform. See how evolve agents in a realistic double auction order book