Run production multi-agent workflows with Hive
Use Hive as a model-agnostic harness for long-running multi-agent workflows that need state, recovery, observability, human oversight, and business-system tools.
Prerequisites
Hive/OpenHive, Python 3.11+, uv workspace setup, LLM provider credentials, optional MCP business-system tools, optional ripgrep
Installation
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/aden-hive/hive.git
Requirements and caveats from upstream:
- Require human-in-the-loop control, observability, and cost limits
- Python 3.11+ for agent development
- ripgrep (optional, recommended on Windows): The search_files tool uses ripgrep for faster file search. If not installed, a Python fallback is used. On Windows: winget install BurntSushi.ripgrep or scoop install ri...
Basic usage or getting-started notes:
Plan to run agents in production where uptime, cost, and auditability matter
An LLM provider that powers the agents
Extracted from upstream docs: https://raw.githubusercontent.com/aden-hive/hive/HEAD/README.md