아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
최근 완료된 8시간 회차 사이 GitHub 스타 증가량 순
Claude, Cursor 등 AI 코딩 도우미 토큰 사용량을 추적·시각화·경쟁
Datus는 데이터 엔지니어링 에이전트로, SQL 작성·파이프라인 배포·웨어하우스·카탈로그·BI 모니터링을 자동화
그래프 엔진으로 컨텍스트를 조립하고, 객체 저장소 기반에서 에이전트가 코드처럼 그래프 데이터를 분기·타입·검토·병합·감사·거버넌스합니다
Busabase는 AI 에이전트를 위한 오픈소스(MIT) 데이터베이스 및 작업 공간입니다
Pivot은 오픈 데이터 형식 기반 고성능 실시간 분석 데이터베이스입니다
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
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프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Tracking autonomous AI agents on the public internet: a live report and data explorer
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
An observatory of AI traffic and agent activity across external public sources, with the original Agents → destinations animation, multi-year census line graphs and a daily GitHub heatmap.
Each source covers a different part of the internet; counts cannot be added into a whole-internet AI activity total. Source classifications and attribution evidence stay attached to each measurement. Local visitor tracking and dashboards are retired; existing history is not deleted.README 전문 보기 ↗How much of the public internet is now AI agents, measured from public sources that can be checked.
Live at gcdtracker.vercel.app.
It follows crawlers reading the web, coding agents opening pull requests on GitHub, and automated edits to Wikipedia, OpenStreetMap and public forums. Each number stays tied to the source it came from and to the rule used to attribute it to an agent, so the site never adds unlike things into one "AI share of the internet".
Everyone has an opinion on how much of the web is bots now, and almost nobody shows their evidence. I wanted a place where the counts, the attribution rules and the gaps in coverage are all visible on the same page, so that a reader can judge the claim rather than take it.
| Area | Evidence |
|---|---|
| Traffic | Cloudflare Radar snapshots, AI crawler-purpose shares and sampled robots.txt policy |
| Social publishing | Bounded Bluesky and Mastodon samples, disclosure text signals, separate automation flags and coverage |
| GitHub | GH Archive observations, documented bot accounts, branch-name signals, watched repositories |
| Wikipedia and Commons | Platform filters, disclosed heuristics, bot activity, files added to tracked AI categories |
| Maps | Capped overlapping OSM creation-time samples with deduplication |
| Forums | Platform-reported public activity on Moltbook |
| Tooling | Package downloads, MCP registry entries, quoted external series |
| Before & After and Notes | Historical context; time correlation does not establish causation |
The census view puts multi-year series side by side, such as Wikipedia pageviews by user, spider and automated traffic, with model launches marked for context:
A claimed crawler name, branch prefix, edit filter or platform assertion does not prove model authorship. Public HTML, JSON and CSV use explicit field allowlists; raw IP addresses are never persisted, and saved bookmarks stay in the reader's browser. Local visitor tracking is retired; historical summaries remain available, and some detailed records expire under the retention policy.
Tech: Next.js 16, React 19, TypeScript, Tailwind 4, Drizzle with Neon, Vercel.
npm ci
npm run dev
npm run lint
npm run typecheck
npm test
npm run build
Without a configured database, the site renders an explicit offline state.
Code: MIT. Project data exports: CC BY 4.0, subject to underlying source rights. Quoted sources retain their publishers' licences; Radar data has its own licence. Fonts: SIL OFL. Public third-party metadata links to its source; inclusion implies no endorsement or finding of misconduct.
Do not report suspected vulnerabilities in a public issue. Use GitHub private vulnerability reporting or contact the repository owner privately. Never include credentials, private request evidence, or production data in a report.