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# Hive
Hive is an easy way to craete reliable agenst with expanding toolkits.
Hive is the easiest way to create reliable agents that self-adapt.
<p align="center">
<img width="100%" alt="Hive Banner" src="https://storage.googleapis.com/aden-prod-assets/website/title-card.png" />
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## Overview
Hive provides advanced runtime control for your AI agents, enabling you to observe, intervene, and dynamically adjust agent behavior as it executes. By giving you real-time visibility and control, Hive helps you build more reliable AI systems—catching and correcting issues during execution rather than reacting after failures occur.
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](https://adenhq.com) for complete documentation, examples, and guides.
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## Features
- **Observe** - Real-time visibility into agent execution, decisions, and performance
- **Metrics & Analytics** - Track costs, latency, and token usage with TimescaleDB
- **Cost Control** - Set budgets and policies to manage LLM spending
- **Real-time Events** - WebSocket streaming for live agent monitoring
- **Self-Hostable** - Deploy on your own infrastructure with full control
- **Production-Ready** - Built for scale and reliability
- **Goal-Driven Development** - Define objectives in natural language; the coding agent generates the agent graph and connection code to achieve them
- **Self-Adapting Agents** - Framework captures failures, updates objectives and updates the agent graph
- **Dynamic Node Connections** - No predefined edges; connection code is generated by any capable LLM based on your goals
- **SDK-Wrapped Nodes** - Every node gets shared memory, local RLM memory, monitoring, tools, and LLM access out of the box
- **Human-in-the-Loop** - Intervention nodes that pause execution for human input with configurable timeouts and escalation
- **Real-time Observability** - WebSocket streaming for live monitoring of agent execution, decisions, and node-to-node communication
- **Cost & Budget Control** - Set spending limits, throttles, and automatic model degradation policies
- **Production-Ready** - Self-hostable, built for scale and reliability
## Project Structure