Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k
vs
AI-Gateway logo
AI-Gateway
★ 1.0k

Microsoft AutoGen vs AI-Gateway

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.; AI-Gateway: AI Gateway is an enterprise-grade gateway powered by Azure API Management for managing AI models, tools, and agents. It provides security, performance, observability, cost control, and extensibility. The project includes 30+ hands-on labs to help users deploy and manage AI gateway capabilities in Azure.

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).
AI-Gateway logo
AI-GatewayMulti-Agent · ★ 1.0k

Manage and control access to Large Language Models with enterprise-grade policies

02

Side-by-Side Comparison

Field
Microsoft AutoGen logoMicrosoft AutoGen
AI-Gateway logoAI-Gateway
Category
Multi-Agent
Multi-Agent
Stars
★ 61.5k
★ 1.0k
License
MIT
MIT
Install Command
pip install -U "autogen-agentchat" "autogen-ext[openai]"
git clone https://github.com/Azure-Samples/AI-Gateway.git && cd AI-Gateway && code .
Updated
1w ago
1mo ago
Open Source
Yes
Yes
Tags
Multi-Agent AI, AI Framework, Python
a2a, agents, apimanagement
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)
AI-Gateway logoAI-Gateway
01Security with OAuth 2.0, managed identities, and content safety filtering
02Performance with load balancing, semantic caching, and request routing
03Observability with token metrics, built-in logging, and tracing
04Cost control with rate limiting, quota management, and FinOps framework
05Extensibility with MCP protocol support, function calling, and multi-model routing
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
AI-Gateway logoAI-Gateway
↳Manage and control access to Large Language Models with enterprise-grade policies
↳Enable secure tool access with MCP protocol and function calling
↳Build and control agentic applications with orchestration frameworks
05

Best For

Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
AI-Gateway logoAI-Gateway
—
FAQ

FAQ

What is the difference between Microsoft AutoGen and AI-Gateway?
Both Microsoft AutoGen and AI-Gateway are in the Multi-Agent category. Microsoft AutoGen has 61.5k stars, while AI-Gateway has 1.0k stars.
Which is better, Microsoft AutoGen or AI-Gateway?
The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and AI-Gateway if Manage and control access to Large Language Models with enterprise-grade policies.
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
Is AI-Gateway free or open source?
Yes, AI-Gateway is open source on GitHub (MIT).
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