hive
by adenhq
Outcome driven agent development framework that evolves
4,528stars
2,841forks
Python
Added 1/22/2026
AI Agentsagentagent-frameworkagent-skillsai-evaluationanthropicautomationautonomous-agentsawesomeclaudeclaude-codehuman-in-the-loopobservability-aiopenaipythonself-hostedself-improvingself-improving-agentself-improving-ai
Installation
# Add to your Claude Code skills
git clone https://github.com/adenhq/hive<p align="center">
<img width="100%" alt="Hive Banner" src="https://storage.googleapis.com/aden-prod-assets/website/aden-title-card.png" />
</p>
<p align="center">
<a href="README.md">English</a> |
<a href="docs/i18n/zh-CN.md">简体中文</a> |
<a href="docs/i18n/es.md">Español</a> |
<a href="docs/i18n/hi.md">हिन्दी</a> |
<a href="docs/i18n/pt.md">Português</a> |
<a href="docs/i18n/ja.md">日本語</a> |
<a href="docs/i18n/ru.md">Русский</a> |
<a href="docs/i18n/ko.md">한국어</a>
</p>
<p align="center">
<img src="https://img.shields.io/badge/AI_Agents-Self--Improving-brightgreen?style=flat-square" alt="AI Agents" />
<img src="https://img.shields.io/badge/Multi--Agent-Systems-blue?style=flat-square" alt="Multi-Agent" />
<img src="https://img.shields.io/badge/Goal--Driven-Development-purple?style=flat-square" alt="Goal-Driven" />
<img src="https://img.shields.io/badge/Human--in--the--Loop-orange?style=flat-square" alt="HITL" />
<img src="https://img.shields.io/badge/Production--Ready-red?style=flat-square" alt="Production" />
</p>
<p align="center">
<img src="https://img.shields.io/badge/OpenAI-supported-412991?style=flat-square&logo=openai" alt="OpenAI" />
<img src="https://img.shields.io/badge/Anthropic-supported-d4a574?style=flat-square" alt="Anthropic" />
<img src="https://img.shields.io/badge/Google_Gemini-supported-4285F4?style=flat-square&logo=google" alt="Gemini" />
<img src="https://img.shields.io/badge/MCP-19_Tools-00ADD8?style=flat-square" alt="MCP" />
</p>
Overview
Build reliable, self-improving AI agents without hardcoding workflows. Define your goal through conversation with a coding agent, and the framework generates a node graph with dynamically created connection code. When things break, the framework captures failure data, evolves the agent through the coding agent, and redeploys. Built-in human-in-the-loop nodes, credential management, and real-time monitoring give you control without sacrificing adaptability.
Visit adenhq.com for complete documentation, examples, and guides.
Who Is Hive For?
Hive is designed for developers and teams who want to build production-grade AI agents without manually wiring complex workflows.
Hive is a good fit if you:
- Want AI agents that **execute real busi...