Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k
vs
trpc-agent-go logo
trpc-agent-go
★ 1.9k

Microsoft AutoGen vs trpc-agent-go

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.; trpc-agent-go: tRPC-Agent-Go is a Go-native framework for production agent systems. It combines LLM agents, type-safe graph workflows (positioned as a LangGraph equivalent for Go), chain, parallel and cycle multi-agent patterns, function and MCP tools, session and memory state, knowledge retrieval, SKILL.md-based agent skills with self-evolution, evaluation sets, and OpenTelemetry/Langfuse observability, with A2A and AG-UI protocol integration.

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).
trpc-agent-go logo
trpc-agent-goMulti-Agent · ★ 1.9k

Adding agents to existing Go microservices

02

Side-by-Side Comparison

Field
Microsoft AutoGen logoMicrosoft AutoGen
trpc-agent-go logotrpc-agent-go
Category
Multi-Agent
Multi-Agent
Stars
★ 61.5k
★ 1.9k
License
MIT
Apache-2.0
Install Command
pip install -U "autogen-agentchat" "autogen-ext[openai]"
go get trpc.group/trpc-go/trpc-agent-go
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent AI, AI Framework, Python
go, agent-framework, graph-workflow
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)
trpc-agent-go logotrpc-agent-go
01GraphAgent: type-safe graph workflows with multi-conditional routing
02Chain, parallel and cycle agents for multi-agent collaboration
03Function tools, MCP tools, web search and code execution
04Session, memory, artifacts and knowledge retrieval as runner-level services
05Evaluation sets plus OpenTelemetry tracing and Langfuse examples
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
trpc-agent-go logotrpc-agent-go
↳Adding agents to existing Go microservices
↳Customer support or data-analysis agents with persistent memory
↳Multi-step business workflows with human-in-the-loop and evaluation
05

Best For

Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
trpc-agent-go logotrpc-agent-go
—
FAQ

FAQ

What is the difference between Microsoft AutoGen and trpc-agent-go?
Both Microsoft AutoGen and trpc-agent-go are in the Multi-Agent category. Microsoft AutoGen has 61.5k stars, while trpc-agent-go has 1.9k stars.
Which is better, Microsoft AutoGen or trpc-agent-go?
The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and trpc-agent-go if Adding agents to existing Go microservices.
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
Is trpc-agent-go free or open source?
Yes, trpc-agent-go is open source on GitHub (Apache-2.0).
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