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clidey/whodb

clidey/whodb

Where data access meets operational intelligence
在 GitHub 查看 ↗直链 · 无中转页
★ 数取值
5,034 ★ · clidey/whodb · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 12 次 · 被 1 个来源列出
评分构成
综合分 113 · 5,034 ★ · 1 个来源 · repo
安装
docker run --rm -it -p 8080:8080 clidey/whodb
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 docker run --rm -it -p 8080:8080 clidey/whodb。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: AI Agent。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 clidey/whodb;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

WhoDB

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A lightweight, self-hosted workspace for your databases
Available on
Quick start · Documentation · Live demo · Community
WhoDB gives you one place to explore your databases, edit data, run queries, and understand how a schema fits together. It runs in the browser, is easy to self-host, and is available as a desktop app or terminal CLI too.
Use it when you want to inspect a local database, help a teammate explore unfamiliar data, or work without installing a heavyweight database client. AI features are optional: connect Ollama, OpenAI, Anthropic, LM Studio, or another OpenAI-compatible provider if you want to ask questions in plain English.
Quick start
Run WhoDB with Docker:
Then open http://localhost:8080 and enter your database connection details.
Want to look around first? Try the live demo or watch the video walkthrough.
What you can do
- **Browse and edit data** in a spreadsheet-style grid with sorting, filtering, pagination, and inline editing.
- **Understand a schema visually** with an interactive graph of tables and relationships.
- **Work through queries in a scratchpad** with multiple cells, autocomplete, history, and results kept alongside each query.
- **Move data in and out** with imports, exports, and mock-data generation for development and testing.
- **Ask questions in plain English** using a local or hosted AI provider that you choose.
- **Work from your terminal** through the WhoDB CLI and its MCP server.
Browse, filter, and edit data
Follow relationships through the schema graph
Supported databases
WhoDB Community supports:
- PostgreSQL, CockroachDB, YugabyteDB, and QuestDB
- MySQL, MariaDB, and TiDB
- SQLite and DuckDB
- MongoDB and FerretDB
- Redis, Valkey, and Dragonfly
- Elasticsearch and OpenSearch
- ClickHouse and Memcached
Support varies by database because not every system has the same concepts or capabilities. The connection screen shows the options available for each source.
Installation options
Docker with persistent sessions
The one-line Docker command is ideal for trying WhoDB. To keep encrypted login sessions when the container is replaced, first generate a key and save it somewhere secure:
Then mount /data and reuse that key whenever you start the container:
Keep that key somewhere safe. Changing it invalidates existing sessions. If WhoDB is served through an HTTPS reverse proxy, also set WHODB_SECURE=true so browsers only send the session cookie over HTTPS.
See the documentation for Docker Compose, connection profiles, SSL, AI providers, and other configuration options.
Desktop
- macOS
- Windows
- Snap
CLI and MCP server
The CLI includes an interactive terminal UI and an MCP server for AI tools:
See the CLI guide for connection examples and the full command reference.
AI providers
You can add a hosted AI provider directly from WhoDB—no backend configuration or restart is required. Open Chat, choose **Add Provider** from the provider menu, then select OpenAI, Anthropic, or Gemini and enter your API key. WhoDB will fetch the available models from that provider.
Ollama and LM Studio are available as local options in WhoDB Community. By default, the backend looks for Ollama at localhost:11434 and LM Studio at localhost:1234/v1, with local addresses adjusted automatically for Docker and WSL. Use WHODB_OLLAMA_HOST, WHODB_OLLAMA_PORT, or WHODB_LMSTUDIO_BASE_URL only when those defaults are not suitable for your setup.
来源
github · https://github.com/clidey/whodb
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