| title | description |
|---|---|
Introduction |
Build production AI agents that automate real business processes — create, debug, deploy, and iterate with confidence |
Aden Hive is a framework for building production-grade AI agents that automate real business processes. You define outcomes in natural language, and Hive generates adaptive agent graphs that self-improve when failures happen.
We built Hive around a simple principle: if our developers aren't winning, we aren't winning. Every feature, every template, every tool exists to help you create agents that work in production — not just in demos.
IT consultants, product builders, one-man CEOs, and developers automating real work. Browse ready-to-run agent templates for sales, support, ops, and more. Install Hive and reach your first success in under 10 minutes. Understand goal-driven development and agent architecture.Success with Hive follows a clear path. Every developer who uses Hive should be able to:
Define your goal in plain language or start from a template. Hive generates the agent graph and connection code for you. Run your agent interactively with `hive tui`, use three-level observability to see exactly what happened, and fix issues fast. Ship to production with `hive deploy` — locally via Docker or to Aden Cloud for zero-ops deployment. Own the business process. Get alerted on failures, monitor costs, and keep your agent reliable over time. Add integrations, expand use cases, and let the evolution loop improve your agent based on real-world outcomes.# Clone and install
git clone https://github.com/adenhq/hive.git
cd hive
./quickstart.sh
# Build an agent with your coding agent
claude> /hive
# Test interactively
hive tui
# Run directly
hive run exports/your_agent_name --input '{"key": "value"}'Traditional agent frameworks require you to manually wire workflows, handle failures reactively, and rebuild when things change. Aden flips this: you describe outcomes, the framework builds and evolves itself.
| Traditional Frameworks | Aden Hive |
|---|---|
| Hardcode agent workflows | Describe goals in natural language |
| Manual graph definition | Auto-generated agent graphs |
| Reactive error handling | Outcome-based adaptation |
| Static tool configurations | Dynamic SDK-wrapped nodes |
| No native intervention model | Built-in human-in-the-loop |
| DIY monitoring | Three-level observability built in |
Join thousands of developers building production agents with Hive.
Get help, share agent ideas, and connect with the community. Star the repo, report issues, and contribute templates. Talk to our team about your use case.