hive logo
hive
★ 11.1k
vs
Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k

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.

01

TL;DR

hive logo
hiveMulti-Agent · ★ 11.1k

Research or data-collection jobs made of many similar units, such as checking dozens of companies

Microsoft AutoGen logo
Microsoft AutoGenMulti-Agent · ★ 61.5k
When to choose:
  • 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.
When to skip:
  • 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).
02

Side-by-Side Comparison

Field
hive logohive
Microsoft AutoGen logoMicrosoft AutoGen
Category
Multi-Agent
Multi-Agent
Stars
★ 11.1k
★ 61.5k
License
Apache-2.0
MIT
Install Command
git clone https://github.com/aden-hive/hive.git && cd hive && ./quickstart.sh
pip install -U "autogen-agentchat" "autogen-ext[openai]"
Updated
4d ago
1w ago
Open Source
Yes
Yes
Tags
multi-agent, agent-runtime, python
Multi-Agent AI, AI Framework, Python
03

Features

hive logohive
01Queen and worker model: orchestration is a tool call (run_worker, run_playbook) rather than a predefined graph
02Shared SQLite tracker per colony, so progress can be queried, audited and resumed
03Persistent markdown memory benchmarked on LongMemEval
04Built-in shell, file, search, scraping and chart tools plus any MCP server via hive mcp add
05Cron, interval and webhook triggers, with Sentinel escalation to Telegram or Slack
Microsoft AutoGen logoMicrosoft AutoGen
01Framework for multi-agent AI applications
02Supports autonomous or human-collaborative agents
03Layered and extensible design (Core, AgentChat, Extensions APIs)
04No-code GUI for workflow prototyping (AutoGen Studio)
05Benchmarking suite for agent performance (AutoGen Bench)
04

Use Cases

hive logohive
↳Research or data-collection jobs made of many similar units, such as checking dozens of companies
↳Growth, RevOps, lead generation and content tasks handled by persona agents
↳Long-running batch work that must survive crashes and pick up where it stopped
Microsoft AutoGen logoMicrosoft AutoGen
↳Developing multi-agent AI applications
↳Building specialized AI assistants (e.g., web browsing, domain experts)
↳Prototyping multi-agent workflows using a no-code GUI
05

Best For

hive logohive
Most Popular
Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between hive and Microsoft AutoGen?
Both hive and Microsoft AutoGen are in the Multi-Agent category. hive has 11.1k stars, while Microsoft AutoGen has 61.5k stars.
Which is better, hive or Microsoft AutoGen?
The best choice depends on your use case. Choose hive if Research or data-collection jobs made of many similar units, such as checking dozens of companies, and Microsoft AutoGen if Developing multi-agent AI applications.
Is hive free or open source?
Yes, hive is open source on GitHub (Apache-2.0).
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
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