AutoGen (Microsoft)
Data confidence: GoodMulti-agent conversation framework
AutoGen (Microsoft) is tracked by AI-Buzz. Key metrics include 877.8K monthly package downloads, 55.3K GitHub stars.
Developer Adoption
Developer Adoption
Package downloads and ecosystem metrics, 30-day window
PyPI Download Trend
PyPI Downloads declined from 884,450 to 877,815 over the last 90 days.
View data table
| Date | pypi downloads |
|---|---|
| Mar 4, 2026 | 884,450 |
| Mar 5, 2026 | 877,815 |
Key Signals
Developer Community Metrics
Metrics computed from HN discussion, GitHub activity, and funding data.
Category Benchmark
31 AI Agents companies30-Day Trends
PyPI Downloads
PyPI Downloads declined from 884,450 to 877,815 over the last 90 days.
View data table
| Date | pypi downloads |
|---|---|
| Mar 5, 2026 | 884,450 |
| Mar 6, 2026 | 877,815 |
GitHub Stars
GitHub Stars grew from 54,971 to 55,260 over the last 90 days.
View data table
| Date | github stars |
|---|---|
| Feb 21, 2026 | 54,971 |
| Feb 22, 2026 | 55,007 |
| Feb 23, 2026 | 55,070 |
| Feb 24, 2026 | 55,092 |
| Feb 25, 2026 | 55,132 |
| Feb 26, 2026 | 55,181 |
| Feb 27, 2026 | 55,246 |
| Feb 28, 2026 | 55,260 |
HN Mentions
HN Mentions grew from 2 to 4 (+100.0%) over the last 90 days.
View data table
| Date | hn mentions |
|---|---|
| Jan 6, 2026 | 2 |
| Jan 27, 2026 | 4 |
| Jan 29, 2026 | 4 |
| Jan 30, 2026 | 4 |
| Jan 31, 2026 | 4 |
| Feb 1, 2026 | 4 |
| Feb 2, 2026 | 4 |
| Feb 3, 2026 | 4 |
| Feb 4, 2026 | 4 |
| Feb 5, 2026 | 4 |
According to AI-Buzz, AutoGen (Microsoft) has 877,815 PyPI downloads in 30 days.
Source: https://www.ai-buzz.com/companies/autogen?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
About
About
Description
Multi-agent conversation framework
Website
microsoft.github.io/autogen/Details
Founded
2023
Description
AutoGen is an open-source framework developed by Microsoft that facilitates the creation of LLM applications using multiple customizable and conversable agents. These agents can interact with each other, integrate tools, and involve human input to collaboratively solve complex tasks. It simplifies the orchestration, optimization, and automation of sophisticated LLM workflows.
Data Confidence
GoodReflects profile completeness, metric freshness, and signal coverage.
How we calculate thisWeekly AI Intelligence
Which AI companies are developers actually adopting? We track npm and PyPI downloads for 262+ companies. Get the biggest shifts weekly - before they show up in the news.