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Repository Overview (README excerpt)
Crawler view> [!NOTE] > pgplex: Modern Developer Stack for Postgres - **pgconsole** · pgtui · pgschema · pgparser **pgconsole** is a web-based PostgreSQL editor. Single binary, single config file, no database required. Connect your team to PostgreSQL with access control and audit logging built in. Installation Visit https://docs.pgconsole.com/getting-started/quickstart Prerequisites • Node.js 20+ npm npx Docker Run without to start in demo mode with a bundled sample database. Features SQL Editor A full-featured SQL workspace with real-time intelligence powered by a PostgreSQL parser — not regex. • **Autocomplete** — context-aware suggestions for tables, columns, joins, and CTEs • **Formatting** — pretty-print or collapse SQL to one line • **Error detection** — red underlines with hover tooltips • **Code folding** — collapse , , and other blocks • **Function signature help** — parameter hints as you type Data Grid & Inline Editing Query results appear in a virtual-scrolling grid. With permission, you can edit data directly — all changes are staged locally and previewed before execution. • Double-click a cell to edit, or use the row detail panel • Add, delete, and duplicate rows • Staged changes are color-coded: green (INSERT), amber (UPDATE), red (DELETE) • Preview generated SQL and optionally run an AI risk assessment before executing Schema Browser Browse and inspect database objects — tables, views, materialized views, functions, and procedures — with full metadata, indexes, constraints, triggers, and grants. AI Assistant Generate, explain, fix, and rewrite SQL with an AI assistant that understands your schema context. Supports OpenAI, Anthropic, and Google providers. • **Text-to-SQL** — describe a query in natural language, get SQL back • **Explain SQL** — get plain-language explanations of any query • **Fix SQL** — AI-powered error correction from inline linting • **Rewrite SQL** — optimize queries for performance or readability • **Risk assessment** — analyze staged changes for potential risks before execution Database Access Control Fine-grained IAM controls who can read, write, or administer each connection. Permissions are enforced at the application layer — no database roles needed. • **Default deny** — users have no access unless a rule explicitly grants it • **Connection-scoped** — permissions are granted per connection, not globally • **Disjoint permissions** — , , , , , , are independent Audit Log Every query and login is recorded as structured JSON to stdout. Filter and forward to your log infrastructure. Single-File Configuration Everything lives in — connections, users, groups, access rules, AI providers. No database required. Getting Help • Docs • GitHub Issues Development > [!NOTE] > **For external contributors**: If you want to request a feature, please create a GitHub issue to discuss first instead of creating a PR directly.