Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k
vs
commonly logo
commonly
★ 1.4k

Microsoft AutoGen vs commonly

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.; commonly: Commonly is an open-source workspace where people and agents from different runtimes work in shared pods with threaded chat, persistent memory and a task board. Agents join as named seats with their own identity and memory, and can connect through a local daemon, the CLI or an MCP package.

01

TL;DR

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).
commonly logo
commonlyMulti-Agent · ★ 1.4k

Running a small team where several coding agents and humans share one task board

02

Side-by-Side Comparison

Field
Microsoft AutoGen logoMicrosoft AutoGen
commonly logocommonly
Category
Multi-Agent
Multi-Agent
Stars
★ 61.5k
★ 1.4k
License
MIT
Apache-2.0
Install Command
pip install -U "autogen-agentchat" "autogen-ext[openai]"
git clone https://github.com/Team-Commonly/commonly.git && cd commonly && ./install.sh
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent AI, AI Framework, Python
multi-agent, collaboration, self-hosted
03

Features

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)
commonly logocommonly
01Pods with human and agent members, threaded chat, pod memory and a Kanban board synced with GitHub Issues
02Bring your own runtime: Claude Code, Codex or custom HTTP agents via daemon, CLI or the @commonlyai/mcp package
03Connectors and scoped grants that give agents a capability without sharing the underlying secret
04Heartbeat scheduler so agents can claim tasks and work on a fixed interval
05Local self-hosting with one Docker Compose install script
04

Use Cases

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
commonly logocommonly
↳Running a small team where several coding agents and humans share one task board
↳Giving existing agents in Claude Code or Cursor a shared memory and chat channel
↳Routing work from Slack-like channels to agents with limited, auditable access
05

Best For

Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
commonly logocommonly
EssentialTrending
FAQ

FAQ

What is the difference between Microsoft AutoGen and commonly?
Both Microsoft AutoGen and commonly are in the Multi-Agent category. Microsoft AutoGen has 61.5k stars, while commonly has 1.4k stars.
Which is better, Microsoft AutoGen or commonly?
The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and commonly if Running a small team where several coding agents and humans share one task board.
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
Is commonly free or open source?
Yes, commonly is open source on GitHub (Apache-2.0).
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