Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k
vs
stellar-raven logo
stellar-raven
★ 14

Microsoft AutoGen vs stellar-raven

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.; stellar-raven: Stellar Raven is a remote MCP server built on Cloudflare Workers, offering `search` and `execute` tools to agents. It provides a unified catalog of Stellar ecosystem services and skills, enabling agents to discover and execute capabilities securely within a sandboxed environment.

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).
stellar-raven logo
stellar-ravenMulti-Agent · ★ 14

Empowering AI agents to discover available services and skills

02

Side-by-Side Comparison

Field
Microsoft AutoGen logoMicrosoft AutoGen
stellar-raven logostellar-raven
Category
Multi-Agent
Multi-Agent
Stars
★ 61.5k
★ 14
License
MIT
Apache-2.0
Install Command
pip install -U "autogen-agentchat" "autogen-ext[openai]"
npm ci && npm run dev
Updated
1w ago
2mo ago
Open Source
Yes
Yes
Tags
Multi-Agent AI, AI Framework, Python
Cloudflare Workers, Serverless, Multi-Agent
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)
stellar-raven logostellar-raven
01Remote MCP server on Cloudflare Workers
02Offers `search` and `execute` tools for agent interaction
03Secure execution of JavaScript in a sandboxed Dynamic Worker isolate
04Unified catalog for Stellar ecosystem services and skills
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
stellar-raven logostellar-raven
↳Empowering AI agents to discover available services and skills
↳Securely executing agent-generated JavaScript code for specific tasks
↳Providing a centralized interface for integrating and accessing Stellar ecosystem functionalities
05

Best For

Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
stellar-raven logostellar-raven
—
FAQ

FAQ

What is the difference between Microsoft AutoGen and stellar-raven?
Both Microsoft AutoGen and stellar-raven are in the Multi-Agent category. Microsoft AutoGen has 61.5k stars, while stellar-raven has 14 stars.
Which is better, Microsoft AutoGen or stellar-raven?
The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and stellar-raven if Empowering AI agents to discover available services and skills.
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
Is stellar-raven free or open source?
Yes, stellar-raven is open source on GitHub (Apache-2.0).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related