- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
An open-source personal learning agent with three-layer memory (learner profile / wiki knowledge base / cross-conversation recall), a proactive scheduler, personal IM channels, and a workspace-scoped Practice Lab — built on the Pi SDK.
01Result
hhyqhh/inno-agent ↗hhyqhh/inno-agent AI coding statistics: 3.2%
A small group is using agents. Adoption has spread beyond one person but is not project-wide.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.
Agent share by month
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-05 | 19% | 21 |
| 2026-06 | 4.4% | 91 |
| 2026-07 | 5.1% | 79 |
| 2026-08 | 1.2% | 173 |
| 2026-09 | 0.9% | 112 |
Peak month: 19%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Cursor Agent | Anysphere | 14 | 2.9% |
| Claude Code | Anthropic | 1 | 0.2% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
fcc669fdon GitHubdocs: refresh expired WeChat community QR codeCursor Agent0d2322f8on GitHubdocs: refresh WeChat community group QR codeCursor Agent5916ddb9on GitHubdocs: refresh WeChat community QR codeCursor Agent4f07fcd6on GitHubfeat: export a session to Markdown for reviewClaude Code
04Method
What entered the denominator
The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.
Exclusion ledger
| Commits in window | 636 |
| Merge commits removed | −160 |
| CI / dependency bots removed | −0 |
| Considered | 476 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
Run the same detector locally.
Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.
npx qmmit-cli hhyqhh/inno-agent