---
title: "hive"
type: "tool"
slug: "aden-hive-hive"
canonical_url: "https://www.graphcanon.com/tools/aden-hive-hive"
github_url: "https://github.com/aden-hive/hive"
homepage_url: null
stars: 10644
forks: 5647
primary_language: "Python"
license: "Apache-2.0"
categories: ["ai-agents"]
tags: ["human-in-the-loop", "agent-framework", "openai", "anthropic", "agent"]
updated_at: "2026-07-07T18:33:15.527335+00:00"
---

# hive

> Multi-Agent Harness for Production AI

Hive is a framework designed to facilitate the creation, management, and deployment of multi-agent systems in production environments. It supports self-improving agents and human-in-the-loop processes.

## Facts

- Repository: https://github.com/aden-hive/hive
- Stars: 10,644 · Forks: 5,647 · Open issues: 1,304 · Watchers: 237
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-05-29T21:55:22+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

human-in-the-loop, agent-framework, openai, anthropic, agent

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## README (excerpt)

```text
<p align="center">
  <img width="100%" alt="Hive Banner" src="https://asset.acho.io/github/img/banner.gif" />
</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">
  <a href="https://github.com/aden-hive/hive/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="Apache 2.0 License" /></a>
  <a href="https://www.ycombinator.com/companies/aden"><img src="https://img.shields.io/badge/Y%20Combinator-Aden-orange" alt="Y Combinator" /></a>
  <a href="https://discord.com/invite/MXE49hrKDk"><img src="https://img.shields.io/discord/1172610340073242735?logo=discord&labelColor=%235462eb&logoColor=%23f5f5f5&color=%235462eb" alt="Discord" /></a>
  <a href="https://x.com/aden_hq"><img src="https://img.shields.io/twitter/follow/teamaden?logo=X&color=%23f5f5f5" alt="Twitter Follow" /></a>
  <a href="https://www.linkedin.com/company/teamaden/"><img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff" alt="LinkedIn" /></a>
  <img src="https://img.shields.io/badge/MCP-102_Tools-00ADD8?style=flat-square" alt="MCP" />
</p>

<p align="center">
  <img src="https://img.shields.io/badge/Agent_Harness-Runtime_Layer-ff6600?style=flat-square" alt="Agent Harness" />
  <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/Headless-Development-purple?style=flat-square" alt="Headless" />
  <img src="https://img.shields.io/badge/Human--in--the--Loop-orange?style=flat-square" alt="HITL" />
  <img src="https://img.shields.io/badge/Browser-Use-red?style=flat-square" alt="Browser Use" />
</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" />
</p>

<p align="center"><em>The agent harness for production workloads — state management, failure recovery, observability, and human oversight so your agents actually run.</em></p>

## Overview

OpenHive is a zero-setup, model-agnostic execution harness that dynamically generates multi-agent topologies to tackle complex, long-running business workflows without requiring any orchestration boilerplate. By simply defining your objective, the runtime compiles a strict, graph-based execution DAG that safely coordinates specialized agents to execute concurrent tasks in parallel. Backed by persistent, role-based memory that intelligently evolves with your project's context, OpenHive ensures deterministic fault tolerance, deep state observability, and seamless asynchronous execution across whichever underlying LLMs you choose to plug in.

## Features

- ✅ Multi-Agent Coordination for parallel task execution 
- ✅ Graph-based execution for recurring and complex processes 
- ✅ Role-based memory that evolves with your projects 
- ✅ Zero Setup - No technical configuration required
- ✅ General Compute Use and Browser Use with Native Extension 
- ✅ Custom Model Support

Visit [adenhq.com](https://adenhq.com) for complete documentation, examples, and guides.

Visit [HoneyComb](http://honeycomb.open-hive.com/) to see what jobs are being automated by AI. It’s a stock market for jobs, driven by our community’s AI agent progress. You can long and short jobs (with no real money but compute token)based on how much you think a job is going to be
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/aden-hive-hive`](/api/graphcanon/tools/aden-hive-hive)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_