AgentIndex icon
AgentIndex
Agentflow logo
Agentflow
★ 27
vs
Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k

Agentflow vs Microsoft AutoGen

Agentflow: Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows, offering an LLM-agnostic core engine. It provides a full-stack ecosystem including an API server, CLI, TypeScript client, visual playground, and documentation for taking multi-agent systems from prototype to production.; 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

Agentflow logo
AgentflowMulti-Agent · ★ 27

Building Reasoning Agents

Read Agentflow full review →
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).
Read Microsoft AutoGen full review →
02

Side-by-Side Comparison

Field
Agentflow logoAgentflow
Microsoft AutoGen logoMicrosoft AutoGen
Category
Multi-Agent
Multi-Agent
Stars
★ 27
★ 61.5k
License
MIT
MIT
Install Command
pip install 10xscale-agentflow 10xscale-agentflow-cli && agentflow init my-agent && cd my-agent && agentflow api
pip install -U "autogen-agentchat" "autogen-ext[openai]"
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent Orchestration, LLM Framework, Python
Multi-Agent AI, AI Framework, Python
03

Features

Agentflow logoAgentflow
01LLM-Agnostic Orchestration
02Multi-Agent Workflows
03Parallel Tool Execution
04Realtime Audio Agents
05State Management & Checkpointing
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

Agentflow logoAgentflow
↳Building Reasoning Agents
↳Retrieval-Augmented Generation (RAG)
↳Multi-Agent Collaboration
↳Realtime Voice Applications
↳Workflow Automation
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

Agentflow logoAgentflow
—
Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between Agentflow and Microsoft AutoGen?
Both Agentflow and Microsoft AutoGen are in the Multi-Agent category. Agentflow has 27 stars, while Microsoft AutoGen has 61.5k stars.
Which is better, Agentflow or Microsoft AutoGen?
The best choice depends on your use case. Choose Agentflow if Building Reasoning Agents, and Microsoft AutoGen if Developing multi-agent AI applications.
Is Agentflow free or open source?
Yes, Agentflow is open source on GitHub (MIT).
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
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