Starred repositories
Dify-Plus 是 Dify 的企业级增强版，集成了基于 gin-vue-admin 的管理中心，并针对企业场景进行了功能优化。 🚀 Dify-Plus = 管理中心 + Dify 二开 。 特别说明： 本项目为开源社区的二次开发成果，严格遵循 Dify 原项目的版权许可协议，未涉及原项目许可的多租户功能及 logo 等版权信息。如有相关需求，请直接联系 Dify 官方获取授权与支持。
Specification and documentation for Agent Skills
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
Mobile-Agent: The Powerful GUI Agent Family
Hia (Health Insights Agent) - AI Agent to analyze blood reports and provide detailed health insights.
An open source AI health assistant
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, e…
Chrome DevTools for coding agents
label-studio 1.23社区版汉化 使用i18n配置文件
Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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。
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7 and MiroThinker-H1, achieve 74.0 and 88.2 on the BrowseComp, respectively.
Implementation of Agentic Patterns from Scratch
A comprehensive, hands-on tutorial for building AI agents from scratch. Learn to create intelligent agents with memory, tools, planning capabilities, and multi-agent systems through progressive, pr…
A comprehensive collection of patterns, building blocks, and workflows for building AI agents from the ground up using Python. This repository serves as a practical guide to understanding and imple…
LocalDeepAgents_01
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Autonomous Research and Action Agent using LangChain + Ollama
LangGraph 1.0 Tutorial
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"