DocKit

Open-source GUI client for Elasticsearch, OpenSearch, DynamoDB and MongoDB — one native desktop app for all your NoSQL databases.

Privacy-first. Your data, your keys. Open source.

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DocKit replaces browser consoles like Kibana and AWS Console with a single native desktop app. Describe what you need in natural language and get runnable queries, or use the Monaco-powered editors directly. Supports OpenAI, Anthropic, and DeepSeek — bring your own key.

Installation

Key Features

Agentic Data Studio

Describe what you need in natural language — the agent writes queries, inspects schemas, updates documents, deletes records, creates indexes, and returns results.

• Query generation — natural language to Elasticsearch DSL, PartiQL, MongoDB queries
• Schema inspection — agent reads and explains your database schema
• Data operations — CRUD, index management, bulk actions through conversation
• Safety — per-source permissions, confirmation gate for destructive ops, credentials never exposed to the LLM
• Supported providers — OpenAI, Anthropic, DeepSeek, Ollama, LM Studio

DynamoDB

Visual tools for DynamoDB — query builder, PartiQL editor, table management, import/export.

• Query Builder — scan and query with primary key filtering and 13+ operators
• PartiQL Editor — autocomplete, syntax highlighting, inline item CRUD
• Table management — create, modify tables, manage indexes (GSI/LSI), TTL, streams, PITR, encryption
• DynamoDB Local — offline development without AWS credentials
• Authentication — AWS profiles, SSO, access keys, IAM roles

MongoDB

Full-featured MongoDB client with query editor, document browser, and import/export.

• Query editor — autocomplete, result formatting, bulk write support
• Document browser — pagination, inline CRUD
• Manage view — indexes, storage stats, collection metadata at a glance
• Connections — authentication, TLS, replica set configurations
• Import / Export — JSON, CSV, JSONL

Elasticsearch & OpenSearch

Separate connection types with independent configs. Monaco-powered editor with full syntax highlighting and autocomplete.

• Cluster management — node health, shard state, index tracking, alias control
• Authentication — native API key support for both ES and OpenSearch
• Editor — Monaco (VS Code engine), JSON5, inline comments, field autocomplete from live mapping
• Grammar catalog — 120+ ES and OpenSearch API endpoints for reference
• Version support — Elasticsearch 1.x–9.x, OpenSearch 1.x–3.x

Management & Monitoring

• Cluster health — node status, shard states, storage metrics
• Index management — create, delete, open, close, manage aliases and mappings
• Table/collection metadata — view and edit schema, indexes, and configurations

Query History

• Auto-recording — every query saved, no manual save needed
• 500 entries per connection — stored locally, searchable
• Replay — copy, reload into editor, or re-execute past queries
• Covers — PartiQL, MongoDB, and visual form queries

Import & Export

• Formats — JSON, CSV, JSONL
• Scale — batch operations handle millions of records
• Use cases — cluster migration, backup, dev environment seeding

Privacy & Security

• No telemetry — DocKit does not phone home
• Local storage — queries, credentials, analytics stay on your machine
• Encrypted — connection profiles secured by your OS keychain
• Air gap — fully offline capable, no internet required

Accessibility

• Keyboard navigation — tab through all interactive elements, arrow keys in lists and trees, enter/space to activate
• Screen reader — action buttons and query results fully accessible
• Focus indicators — visible on all interactive elements

Development

DocKit is Built with Tauri (Rust), Vue 3 + TypeScript, shadcn-vue, UnoCSS, Monaco Editor, and Pinia.

Prerequisites

• Node.js >= 20
• NPM >= 10
• Rust toolchain (for Tauri)

Setup

git clone https://github.com/geek-fun/dockit.git --depth=1
cd dockit
npm install
npm run tauri dev

Build

npm run tauri build         # current platform
npm run build:macos         # macOS Universal

Contributing

Issues and PRs welcome. Check the contribution guide.

Community

Sponsor

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License

Apache 2.0 © GEEKFUN