Data / Analytics
Open-source context layer for analytics/data agents that builds warehouse context from approved metrics, joins, wiki knowledge, and semantic-layer sources, with CLI and MCP support.
The page clearly describes a real AI-adjacent product for data agents, with a specific job to do: build and serve warehouse context for agentic analytics workflows. The snapshot includes what it does, who it is for, supported databases and integrations, quick-start commands, and examples of CLI usage, which is enough for a useful public listing.
The crawl does not show pricing, license details beyond the repo header, deployment model, or how much setup is needed before it works well in a real warehouse. It also does not show screenshots, docs depth, or evidence of release/activity beyond the repository metadata.
Last evaluated 50 days ago. Current rank #410. Down 3 spots in the rankings.
Local-first desktop ETL/ELT studio with a drag-and-drop pipeline canvas, DuckDB execution, and an on-device AI assistant for describing workflows in plain English.
A tutorial and live demo showing how to build an AI SQL analyst agent that inspects schema, writes queries, runs them, and explains results using Node.js, OpenAI, Vercel AI SDK, and SQLite.
