Developers star Dify, but measured usage runs through LangGraph — 67.8% of 50.9M monthly downloads on just 8.5% of stars

Asked:

"List all popular open-source agents. What is their user share and Github stars share"

Ten popular open-source AI-agent frameworks from the mid-2026 comparative landscape, holding 441,130 GitHub stars in total. Four of the ten report a comparable monthly-download figure, together 50.856M downloads/month; user share is computed only among those four.

No authoritative global user-share dataset exists. Two different denominators are used here. Star share divides each project's GitHub stars by the 441,130 stars of all 10 shortlisted projects. Measured user share uses monthly package downloads as an adoption proxy, divided by the 50.856M combined downloads of the only 4 projects the source reports figures for. The six projects without a comparable download number are shown as "no data" — never as zero.

GitHub star share (of all 10)Measured user share (downloads, of the 4 measured)No comparable download data

LangGraph moves 34.5M downloads a month — 67.84% of measured usage — with only 8.54% of the stars. the-agent-report.com

Dify leads developer interest with 153,762 stars (34.86% share) yet publishes no comparable download figure. api.github.com

AutoGen holds 13.75% of stars but only 1.68% of measured usage; it is in maintenance status and Microsoft directs new users to Microsoft Agent Framework. api.github.com

OpenAI Agents SDK is the youngest large mover: 20.25% of measured downloads on 6.36% of stars. the-agent-report.com

Project	Stars	Star share %	Downloads/mo	User share %	Paradigm	Status	Source

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Data: 10 open-source AI-agent frameworks from a mid-2026 comparison source; star counts from GitHub API repository pages fetched 2026-08-31. Star share = project stars / 441,130 total. User share = monthly package downloads / 50.856M combined, computed only for the 4 projects with reported figures; blanks mean no comparable data, not zero. Full descriptions shortened for space.