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langchain-ai/langgraph
15.6%
of 307 commits were committed by an AI agent — a floor, not an estimate
15.6% agent · top contributor 29.2%5 contributors
team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

48
agent commits
259
human commits
5
agent contributors
29.2%
largest contributor

Assisted or autonomous

40assisted
8autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. The agent ran git commit during a working session, with a person there. Autonomous — a bot identity is the author, no human in the loop. Across the whole index, 93.7% of agent commits are assisted.

Agent share by month

Feb26
Mar26
Apr26
May26
Jun26
Jul26
Aug26

Peak month: 19%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic4013%
Cursor AgentAnysphere72.3%
GitHub CopilotGitHub20.7%

Verify it yourself

Sample commits that matched. Every one links to GitHub — check the trailers.

  • 23652c54release(langgraph): 1.2.8 (#8292)Claude Code
  • d2f97191chore(deps): bump redis in /libs/langgraph (#7976)Claude Code
  • 2b1abc80chore: migrate Python type checking to ty (#8002)Claude Code
  • 95af6a00release(langgraph): 1.2.9 (#8316)Cursor Agent
  • d57a74f9fix: updateState bug for deltaChannel on empty thread (#8011)Cursor Agent
  • 6dade64achore: remove unnecessary missing-typed-dict-key suppression (#7744)Cursor Agent
  • 4a5765ddrelease: alpha for timers (#7647)GitHub Copilot
  • 800071d0chore: idle timeout (#7631)GitHub Copilot

What was excluded

Commits in window577
Merge commits removed0
CI / dependency bots removed270
Considered307

Bots are excluded from the denominator entirely. Counting dependabot as “AI-written code” is the fastest way to produce a meaningless number.

How this was measured

Measured over February–August 2026, cloned directly. Detection is deterministic string matching against signatures agents write about themselves — no heuristics, no style analysis. Merge commits and CI bots are excluded from the denominator. The figure is a floor: squash merges strip trailers, so real usage is higher. Contributor counts are aggregate — no individual is named.

Run it yourself: npx qmmit-cli langchain-ai/langgraph

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