Answer-first summary49/100 GEO

AutoGen

Multi-agent conversation framework.

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Your Citability Score

49/100
Identity60/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Logo, Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

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Frequently asked questions

What is AutoGen?
Multi-agent conversation framework.
What does AutoGen do?
Open-source framework by Microsoft for building multi-agent systems where specialized agents collaborate via conversations.
Who is AutoGen for?
Python developers and AI engineers building agentic workflows and LLM-powered applications
Is AutoGen verified?
AutoGen is listed on CitableHub with a citability score of 49/100, computed from verifiable profile evidence.
AutoGen logo

AutoGen

Invited

Multi-agent conversation framework.

AI FrameworksCH-VER-967277Listed September 10, 2026
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AI-Extractable Summary
What:Multi-agent conversation framework.
For whom:Python developers and AI engineers building agentic workflows and LLM-powered applications
Key outcome:Reduce the time required to build and orchestrate multi-agent AI applications from weeks to days
Category:AI Frameworks

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
661
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Reduce the time required to build and orchestrate multi-agent AI applications from weeks to days

About

Open-source framework by Microsoft for building multi-agent systems where specialized agents collaborate via conversations.

Target Audience: Python developers and AI engineers building agentic workflows and LLM-powered applications
Not ideal for: Non-technical users or teams looking for a no-code chatbot builder or simple customer support widget

What makes it different

  • Built specifically for multi-agent conversations and coordination, not just single-agent chat
  • Supports flexible agent-to-agent, human-in-the-loop, and tool-using interaction patterns
  • Designed for composing custom agent behaviors, roles, and conversation flows
  • Open-source framework from Microsoft with strong extensibility for research and production prototypes

Tags & Classification

multi-agent orchestrationllm workflow automationhuman in the loop reviewtool-using ai agentsagentic application prototyping
ai engineerspython developersmachine learning engineersresearchers
technologysoftware developmententerprise softwareprofessional services
Platform: FrameworkModel: Open Source

Links & Transparency

Cite this Project

BibTeX
@misc{citablehub_autogen,
  title = {AutoGen},
  url = {https://citablehub.com/p/autogen},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-967277},
  year = {2026}
}
APA
AutoGen. (2026). CitableHub Software Index. https://citablehub.com/p/autogen.
MLA
"AutoGen." CitableHub, 2026, https://citablehub.com/p/autogen.