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aden-hive/hive

Hive is a production-grade runtime harness for multi-AI agents, providing state management, fault recovery, observability, and human oversight for reliable business process automation.

Core Features

Production-ready runtime for AI agents with state isolation and checkpoint-based crash recovery.

Self-healing and adaptive agents that evolve through failure capture and graph redeployment.

Real-time observability, cost enforcement, and human-in-the-loop control for critical workflows.

Multi-agent coordination with session isolation, shared buffers, and parallel execution.

Supports major LLM providers including OpenAI, Anthropic, and Google Gemini.

Detailed Introduction

Hive is designed to bridge the gap between AI agent prototypes and robust production deployments. It acts as a comprehensive runtime harness, enabling teams to deploy multi-agent systems for real business processes with confidence. Key capabilities include managing agent state, ensuring fault recovery through checkpoints, enforcing cost limits, and providing real-time observability. Hive also facilitates self-healing agents that adapt and improve over time by capturing failures and evolving their operational graphs, all while offering essential human-in-the-loop oversight and support for parallel execution.