Answer-first summary49/100 GEO
AutoGen
Multi-agent conversation framework.
Your Citability Score
49/100Identity60/100
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.
Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.
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
InvitedMulti-agent conversation framework.
AI FrameworksCH-VER-967277Listed September 10, 2026
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
Identity45
Evidence15
Trust50
Freshness80
Classification661
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.
