Answer-first summary58/100 GEO

AutoGen

Multi-agent conversation framework.

AI FrameworksFair citabilityVisit site →

Your Citability Score

58/100
Completeness13/25
Citable structure20/25
Freshness25/25
Verified claim0/25
What to improve to rank higher
  • Completeness: Fill in description, category, URL, logo, tags, and audience.
  • Citable structure: Add an answer-first summary, a deeper description, a citable outcome, and a valid URL.
  • Verified claim: Claim this project as its owner (and get verified) to earn full trust.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

A

AutoGen

Invited

Multi-agent conversation framework.

AI FrameworksCH-VER-967277Listed July 26, 2026
Visit Website
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
630
Impressions
0
Clicks
0
Saves
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

Website

Cite this Project

BibTeX
@misc{citablehub_autogen,
  title = {AutoGen},
  url = {https://citablehub.com/p/autogen},
  note = {Listed July 26, 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.