hive vs MetaGPT
hive: Hive runs colonies of agents for business work: a long-lived queen agent pilots one unit of a task, saves the method as a skill, then fans the rest out to parallel workers that write results into a shared SQLite tracker. It ships persona queens, measured memory, in-process tools, MCP support and crash-safe state, and works with most LLM providers through LiteLLM.; MetaGPT: MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.
TL;DR
Research or data-collection jobs made of many similar units, such as checking dozens of companies
- You want to experiment with or demonstrate the 'software company SOP' multi-agent pattern (PM, architect, engineer generating specs and code).
- You are looking for the reference implementation of research papers from the team such as AFlow, SPO, and AOT.
- You want an actively updated general-purpose production agent framework; the repository's last push was in January 2026.
- You are on Python 3.12+ or do not want to install Node.js and pnpm alongside Python (README specifies Python 3.9–3.11).
Side-by-Side Comparison
hiveMetaGPTFeatures
hiveMetaGPTUse Cases
hiveMetaGPTBest For
hiveMetaGPTFAQ
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