Busabase
Busabase는 AI 에이전트를 위한 오픈소스(MIT) 데이터베이스 및 작업 공간입니다
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기메이커가 쓴 소개는 위의 한 줄이 전부입니다. 더 자세한 내용은 저장소 README에서 읽을 수 있습니다. 저장소 README ↗
README 전체를 불러오는 중입니다.
README 전문 보기 ↗A browser-based lineage explorer with historical family positions, fixed pledge-class rows, pan/zoom, a minimap, exact roster search, and isolated ancestor/descendant views. The framework has no runtime dependencies or external assets.
make setup
make serve
Open http://127.0.0.1:8000. make setup uses uv when installed and falls back
to python3 -m venv; the Python scripts use only the standard library. Run
make help to see all available commands.
The canonical, sanitized source is source/lineage.json. It
contains stable opaque IDs, display names, pledge class, President/Sensei/Evan Chen Award
roles, layout positions, and relationship edges only. It intentionally excludes
roster numbers and all contact, location, career, and other directory fields. The
preparation script validates this file and writes the viewer's preloaded graph to
ignored public/data/; these generated files must not be committed.
For a guided edit, open Edit lineage in the viewer. Add members with their class
and optional President/Sensei/Evan Chen Award roles; search for a Big and Little to add a relationship,
or remove a recorded relationship. The graph updates locally as you work. Use
Download lineage.json for PR, replace source/lineage.json with the downloaded
file, run the checks below, and open a pull request. Nothing is written to the hosted
site from the editor.
You can also edit source/lineage.json directly in a fork. Keep existing member IDs
unchanged; add new members with UUIDv4 IDs. The classes array defines the chronological
class order. Each member's class value must match one of those entries. An edge's source is the Big Bro and its target is the Little. Multiple
Big Bros are supported. Do not add fields to the schema or include roster numbers or
directory information.
Validate and lint changes before opening a pull request:
make setup # once per checkout
make test
make lint
make build
The validator rejects unknown fields, duplicate/invalid IDs, invalid roles, missing edge endpoints, duplicate/self relationships, and edges within the same class or backwards in class order. PR CI runs the same validation and tests. Once merged, the sanitized source is what the hosted viewer deploys; no private reconciliation files are needed by contributors.
Source IDs are stable UUIDv4 values. Viewer IDs are temporary array positions and are
regenerated from the source graph during each local build. Viewer edges point from Big
Bro (source) to Little (target). Layout positions preserve the historical diagram
and newer family corridors; spacing is scaled to prevent card overlap. Isolated mode
keeps those same horizontal family corridors while hiding unrelated members, avoiding
the crossings caused by independently centering each row.
Long edges are routed to preserve the class-row layout and avoid unrelated cards.
Selecting a point traces its connected ancestors and descendants separately, without including siblings and cousins.
The historical workbook/TikZ reconciliation inputs remain local-only and are not required to edit or validate the public source graph.
Optional static preview, bound to this computer only:
make serve
Then visit http://127.0.0.1:8000. Select a member to highlight their connections; Isolate lineage reduces the map to those ancestors and descendants. Drag to pan, scroll to move, use Ctrl/Command + scroll or the buttons to zoom. Full overview fits the whole map; the percentage button returns to readable 100% size. The minimap can be clicked to navigate. Nodes and relationship buttons support keyboard selection.
Build the same preloaded Worker package used by CI, then run it locally:
make preview
make preview starts Cloudflare's local Worker preview. To publish manually from
your computer, authenticate once with cf auth login, then run:
make deploy
This deploys the Worker configured in cloudflare/cloudflare.config.ts.
The Lineage CI workflow validates the canonical source, runs the tests and
builds the Worker package on pull requests. Deploy lineage to Cloudflare runs
only after a push to main (normally a merged pull request); it repeats those
checks, builds, and deploys the same package to the existing workers.dev Worker.
Do not also enable Cloudflare Workers Builds for this repository, or each merge
could deploy twice.
In GitHub, open Settings → Secrets and variables → Actions and add these repository secrets:
CLOUDFLARE_API_TOKEN: an API token scoped to this account with the Workers
Editor permission for deploying Worker code. Store it as a GitHub secret;
never put it in the source, workflow YAML, or a command line.CLOUDFLARE_ACCOUNT_ID: the Cloudflare account ID that owns the Worker.The deploy job uses those secrets only through environment variables. Pull
requests do not receive deployment credentials. The API token is not needed for
local preview; cf auth login is used for an intentional local deploy.
For a manual package build without starting the preview, run:
make build
This creates an isolated deploy folder with Cloudflare's Vite plugin and static assets. The preloaded graph is generated from the tracked sanitized source. Do not deploy the repository root or local reconciliation files. Deployment response headers prohibit network connections from the application.
The Worker is served on its workers.dev hostname. Custom-domain setup is separate;
first confirm the chapter still controls its registrar account before changing DNS.
make test runs viewer, editor, UI, and source-validation tests. make lint checks
Python and JavaScript syntax plus whitespace. CI runs both targets and builds the
Worker before any deployment.