SpotDB
Instant SQL sandboxes for your AI agents
SpotDB launched on October 3, 2025 with 21 votes, #562 of 8,178 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Give your agents a secure, containerized SQL sandbox with MCP or API access enabled with DuckDB. No infra required, quick spin-up cycle. Push any CSV — query, analyze, and move on.
Give your agents a secure, containerized SQL sandbox with MCP or API access enabled with DuckDB. No infra required, quick spin-up cycle. Push any CSV — query, analyze, and move on. - aliengiraffe/spotdb
This project provides a lightweight, ephemeral data sandbox designed for large language models (LLMs) and agentic workflows. By providing a secure, isolated environment, it allows AI agents and scripts to analyze data without direct access to production databases. This setup prevents accidental data modification, ensures data privacy, and enforces guardrails for safe data exploration. brew tap aliengiraffe/spaceship && \\ brew install spotdb Start the server: spotdb Upload a CSV file: curl -X POST \ http://localhost:8080/api/v1/upload \ -F " table_name=mytable " \ -F " has_header=true " \ -F " [email protected] " Query the data: curl -X POST \ http://localhost:8080/api/v1/query \ -H "…from github.com
Does a similar job
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- DUDuck-UI – Browser-Based SQL IDE for DuckDB2025 · demo.duckui.com · ▲213
I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…
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