Why GoNavi?
Most database GUIs are Electron shells with megabytes of tax. GoNavi takes a different path — and “lightweight” only makes sense if you separate three numbers:
| Number | What it means | GoNavi (v0.9.8) |
|---|
| Installer size | What you download | ~20–26 MB class (Win / macOS / Linux release assets) |
| Steady-state RSS | What RAM the running UI holds | Linux WebKit build, idle empty workbench: main ≈ 429 MB; with WebKit helpers ≈ 765 MB (method below) |
| UI stack | Chromium tax or not | Go + system WebView (Wails) — not Electron |
| Typical Electron client | GoNavi |
|---|
| Runtime | Chromium + Node | Go + native WebView |
| Installer | Hundreds of MB common | ~20–26 MB class |
| Startup | Heavy | Fast |
| Memory claim | Often mixed with installer size | Measure RSS separately (see note) |
| AI / Agents | Bolt-on or absent | First-class MCP + multi-provider AI (draft SQL; GUI still owns schema / edits / EXPLAIN) |
| Data sources | Mostly RDBMS | SQL · Cache · Vector · MQ · Search · Time-series · Domestic DBs |
Installer MB ≠ RAM. The RSS figures above are one Linux cloud run of the v0.9.8 WebKit41 build (empty workbench, no DB connections, remote display, ~30–40 s steady). Do not compare them to installer size, or to unverified “native ~80 MB” marketing. Windows / macOS laptop numbers may differ — treat them as a labeled sample, not a leaderboard score.
One cockpit for MySQL, Postgres, Redis, Kafka, Milvus, OceanBase, ClickHouse…
Query, edit, audit, sync — and hand structured context to coding agents without leaking passwords off-host.
At a Glance
┌──────────────────────────────────────────────────────────────────────┐
│ GoNavi Workbench │
│ ┌─────────────┐ ┌──────────────────┐ ┌─────────────────────────┐ │
│ │ Connections │ │ Monaco SQL + AI │ │ Virtualized DataGrid │ │
│ │ SSH / Proxy │ │ Schema context │ │ Batch edit · Export │ │
│ │ Drivers │ │ Slash commands │ │ Txn submit / rollback │ │
│ └─────────────┘ └────────┬─────────┘ └─────────────────────────┘ │
│ │ │
│ ┌─────────────▼─────────────┐ │
│ │ Go core · Audit · Sync │ │
│ │ MCP HTTP · Web Server │ │
│ └───────────────────────────┘ │
└──────────────────────────────────────────────────────────────────────┘
Product screenshots
Each image is a full GoNavi application window (1440×900) captured from the latest dev build, scaled proportionally for README display.
💖 Sponsors
Want to sponsor GoNavi? We welcome sponsorships and partnerships that help sustain its open-source development. Contact the maintainer on WeChat: ygf1140302783 (note “GoNavi”) to start a conversation.
Special thanks to APISmart and HuaLongAI for sponsoring GoNavi open-source development.
| Sponsor | What they offer | Why it fits GoNavi |
|---|
| APISmart | APISmart provides unified access to leading AI models through a single API. Developers can connect to LLM, image, and video models using one API key and an OpenAI-compatible interface. This eliminates the need to manage multiple providers separately. Intelligent routing and automatic failover help improve reliability, while centralized billing makes usage easier to manage. With APISmart, developers can build and scale AI applications faster through one streamlined platform. | Lets developers and agent workflows use multiple AI capabilities without separately integrating each provider. |
| HuaLongAI | HuaLongAI is a premium model API relay provider for power AI developers, focused on official direct connectivity. It primarily offers Codex-series models supplied directly from official sources, with no substitutions or dilution, and invites verification. Billing is transparent, with token-level itemized records available for review. It supports enterprise-grade high concurrency and provides enterprise customers with a professional management platform, formal contracts, and invoices; visit the website for contact details. GPT-series models start at a 0.08 rate, with a stable Pro group at 0.15, two-way referral gifts, and uncapped referral rewards. | Stable model access is core infrastructure for GoNavi's schema-aware assistants, MCP, and day-to-day development. |
HuaLongAI also sponsored a shared 50B token pool for GoNavi co-maintainers, used via API Key (not 50B per person). Rules and how to apply: Issue #671.
✨ Key Features
🤖 AI that knows your schema
- OpenAI · Gemini · Claude · custom OpenAI-compatible APIs
- Attach live table schemas as context
- Slash commands: generate SQL, explain, optimize, review
- MCP: after detecting a locally installed CLI, one-click connect Claude Code / Codex / OpenCode / ZCode / DeepSeek Harness / Kimi Code / Grok Build, or use Streamable HTTP for remote agents
- Secrets stay on the GoNavi host — agents get tools, not raw passwords
⚡ Built for large data
- Virtualized DataGrid for heavy result sets
- In-place cell edit · batch CRUD · transaction submit/rollback
- Large-field popup editor · smart read/write modes
- Export: CSV · XLSX · JSON · Markdown
- Monaco editor with context-aware completion
This is the beginning of the README. Read the rest at the original. Read the full README ↗
