Metadata-Version: 2.1
Name: kenboard
Version: 0.1.75
Summary: Project management dashboard with kanban boards, burndown charts, and category-based organization. Flask API backend with MySQL storage and static HTML generation.
Keywords: kenboard,kanban,project-management,flask,mysql,dashboard
Author: Q
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Framework :: Flask
Classifier: Topic :: Office/Business :: Scheduling
Requires-Python: >=3.11
Requires-Dist: flask>=3.1
Requires-Dist: flask-cors>=5.0
Requires-Dist: flask-login>=0.6
Requires-Dist: pymysql[rsa]>=1.1
Requires-Dist: aiosql>=12.0
Requires-Dist: yoyo-migrations>=8.2
Requires-Dist: pydantic>=2.11
Requires-Dist: structlog>=24.0
Requires-Dist: click>=8.1
Requires-Dist: python-dotenv>=1.0
Requires-Dist: jinja2>=3.1
Requires-Dist: argon2-cffi>=25.1.0
Requires-Dist: flask-limiter>=4.1.1
Requires-Dist: authlib>=1.6.9
Requires-Dist: requests>=2.28
Requires-Dist: zxcvbn>=4.5.0
Provides-Extra: prod
Requires-Dist: gunicorn>=21.0; extra == "prod"
Description-Content-Type: text/markdown

# KENBOARD

> **A kanban for BOTs.**

<table>
<tr>
<td width="33%" align="center">
<img src="./logo.svg" alt="kenboard logo" width="160">
</td>
<td>

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</td>
</tr>
</table>

## For humans

<p align="center">
  <img src="./doc/images/kanban.png" alt="KENBOARD kanban view" width="800">
</p>

> Regenerate the screenshot after a UI change: `pdm run screenshots`

## For BOTs

KENBOARD ships `ken`, a CLI built for Claude Code and other assistants:
JSON output, native filters, clean exit codes.

### Automatic onboarding

1. An admin clicks **Copy onboard link** on a project in the kenboard
2. The link is handed to the agent (Claude Code, GPT, etc.)
3. The agent opens the link and gets a complete `.ken` file with a
   pre-filled API token — zero human interaction for the API key
4. The agent runs `pip install kenboard`, creates the `.ken`, and
   starts working immediately

### Daily workflow

```sh
ken list --status todo --who Claude --json   # assigned tasks
ken show <id> --json                         # task details
ken move <id> --to doing                     # mark in progress
ken add "MODULE / Title" --desc "..." --who Claude  # create
ken move <id> --to review                    # submit
```

Full workflow: `todo` → `doing` → `review` → `done`.
The agent handles `todo` → `doing` → `review`. Only the user moves
`review` → `done`.

### References

- Full CLI: [`doc/ken-cli.md`](doc/ken-cli.md)
- Agent guide: `ken help`
- REST API: [`doc/api.md`](doc/api.md), [`doc/openapi.yaml`](doc/openapi.yaml)

## Enterprise

KENBOARD is designed for self-hosted enterprise deployment:

- **OIDC authentication** — sign in through a corporate Identity
  Provider (Microsoft ADFS, Google Workspace, Authentik, Keycloak,
  etc.) alongside or instead of password login. See
  [`doc/oidc-adfs.md`](doc/oidc-adfs.md) for the ADFS guide.
- **Self-hosted** — no cloud dependencies. MySQL + Flask + gunicorn
  on your own infrastructure, behind your reverse proxy / WAF.
- **Per-project API keys** — each agent or integration gets a
  scoped token (read/write) for a specific project. AI agents
  self-onboard through the runbook served by the server.
- **Commercial support** — setup assistance, IdP integration, and
  operational support available on request.
  Contact: [2113.ch](https://www.2113.ch)

## Installation

See [`INSTALL.md`](INSTALL.md) for the full setup (MySQL, users,
migrations, reverse proxy, OIDC).

## License

MIT — see [`LICENSE`](LICENSE).
