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agentgateway vs Microsoft AutoGen
agentgateway logo
agentgateway
★ 4.8k
vs
Microsoft AutoGen logo
Microsoft AutoGen
★ 60.9k

agentgateway vs Microsoft AutoGen

agentgateway: Agentgateway is an open-source proxy offering a complete connectivity solution for Agentic AI, built on AI-native protocols like MCP and A2A. It provides security, observability, and governance for agent-to-LLM, agent-to-tool, and agent-to-agent communication across various frameworks.; 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

agentgateway logoChoose agentgateway if…

Managing and routing traffic to multiple LLM providers with a unified API and cost controls.

Microsoft AutoGen logoChoose Microsoft AutoGen if…

Developing multi-agent AI applications

02

Side-by-Side Comparison

Field
agentgateway logoagentgateway
Microsoft AutoGen logoMicrosoft AutoGen
Category
Multi-Agent
Multi-Agent
Stars
★ 4.8k
★ 60.9k
License
Apache-2.0
CC-BY-4.0
Updated
2d ago
5mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Gateway, Multi-Agent Communication, LLM Proxy
Multi-Agent AI, AI Framework, Python
03

Features

agentgateway logoagentgateway
01LLM Gateway: Route traffic to major LLM providers through a unified OpenAI-compatible API with budget controls, load balancing, and failover.
02MCP Gateway: Connect LLMs to tools and external data sources via MCP with OpenAPI integration and OAuth authentication.
03A2A Gateway: Enable secure agent-to-agent communication using A2A, with capability discovery, modality negotiation, and task collaboration.
04Guardrails: Multi-layered content filtering with regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor, and custom webhooks.
05Security & Observability: Provide authentication (JWT, API keys, OAuth), fine-grained RBAC, rate limiting, TLS, and OpenTelemetry metrics/logs/tracing.
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

agentgateway logoagentgateway
↳Managing and routing traffic to multiple LLM providers with a unified API and cost controls.
↳Enabling secure and standardized communication between AI agents and external tools/data sources.
↳Facilitating collaborative task execution among multiple AI agents across different environments.
↳Implementing intelligent inference routing for self-hosted models based on resource utilization.
↳Applying multi-layered content filtering and moderation for AI interactions to ensure safety and compliance.
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

agentgateway logoagentgateway
TrendingEssential
Microsoft AutoGen logoMicrosoft AutoGen
Most PopularTrendingEssential
FAQ

FAQ

What is the difference between agentgateway and Microsoft AutoGen?
Both agentgateway and Microsoft AutoGen are in the Multi-Agent category. agentgateway has 4.8k stars, while Microsoft AutoGen has 60.9k stars.
Which is better, agentgateway or Microsoft AutoGen?
The best choice depends on your use case. Choose agentgateway if Managing and routing traffic to multiple LLM providers with a unified API and cost controls., and Microsoft AutoGen if Developing multi-agent AI applications.
Is agentgateway free or open source?
Yes, agentgateway is open source on GitHub (Apache-2.0).
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (CC-BY-4.0).
→

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