- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库,系统性整理了与 大模型记忆(LLM Memory)与智能体记忆(Agent Memory) 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
01Result
IAAR-Shanghai/Awesome-AI-Memory ↗IAAR-Shanghai/Awesome-AI-Memory AI coding statistics: 5.3%
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 |
|---|---|---|
| 2026-02 | 0% | 15 |
| 2026-03 | 3.7% | 27 |
| 2026-04 | 3.2% | 31 |
| 2026-05 | 21.1% | 19 |
| 2026-06 | 6.2% | 65 |
| 2026-07 | 0% | 18 |
| 2026-08 | 5.3% | 19 |
| 2026-09 | 0% | 14 |
Peak month: 21.1%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 11 | 5.3% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
de62adcaon GitHubAdd Superself to Systems and Open SourcesClaude Codec6bb3e8bon GitHubAdd kaeru under Systems and Open SourcesClaude Coded2a4b80fon GitHubAdd Muse paper on multimodal conversational recommendation with scenario-gClaude 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 | 374 |
| Merge commits removed | −166 |
| CI / dependency bots removed | −0 |
| Considered | 208 |
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 IAAR-Shanghai/Awesome-AI-Memory