adenhq/hive
Outcome driven agent development framework that evolves
npx skills add adenhq/hiveREADME
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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.
What is Aden
Aden is a platform for building, deploying, operating, and adapting AI agents:
- Build - A Coding Agent generates specialized Worker Agents (Sales, Marketing, Ops) from natural language goals
- Deploy - Headless deployment with CI/CD integration and full API lifecycle management
- Operate - Real-time monitoring, observability, and runtime guardrails keep agents reliable
- Adapt - Continuous evaluation, supervision, and adaptation ensure agents improve over time
- Infra - Shared memory, LLM integrations, tools, and skills power every agent
Quick Links
- Documentation - Complete guides and API reference
- Self-Hosting Guide - Deploy Hive on your infrastructure
- Changelog - Latest updates and releases
- Report Issues - Bug reports and feature requests
Quick Start
Prerequisites
- Python 3.11+ for agent development
- Docker (v20.10+) - Optional, for containerized tools
Installation
# Clone the repository
git clone https://github.com/adenhq/hive.git
cd hive
# Run Python environment setup
./scripts/setup-python.sh
This installs:
- framework - Core agent runtime and graph executor
- aden_tools - 19 MCP tools for agent capabilities
- All required dependencies
Build Your First Agent
# Install Claude Code skills (one-time)
./quickstart.sh
# Build an agent using Claude Code
claude> /building-agents
# Test your agent
claude> /testing-agent
# Run your agent
PYTHONPATH=core:exports python -m your_agent_name run --input '{...}'
📖 Complete Setup Guide - Detailed instructions for agent development
Features
- Goal-Driven Development - Define
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