hive vs Microsoft AutoGen
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.; Microsoft AutoGen: AutoGen is a versatile framework for developing multi-agent AI applications that can operate autonomously or in collaboration with humans. It offers a layered, extensible design, including Core and AgentChat APIs, along with developer tools like AutoGen Studio for no-code GUI development and AutoGen Bench for performance evaluation.
TL;DR
Research or data-collection jobs made of many similar units, such as checking dozens of companies
- You maintain an existing AutoGen v0.2 or v0.4 system, or want to run research artefacts built on it such as Magentic-One and AutoGen Bench.
- You want to reference its layered event-driven architecture while planning a migration to Microsoft Agent Framework.
- You are starting a brand-new project; Microsoft states AutoGen is in maintenance mode with no new features and recommends Microsoft Agent Framework.
- You expect AutoGen Studio to be a turnkey production web app (the README notes Studio is for prototyping only).
Side-by-Side Comparison
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