sqlrag
An open-source Generative AI (GenAI) application designed to provide users
SQLRAG allows users to query databases using natural language and receive results as SQL code and beautiful visualizations. Powered by Large Language Models (LLMs), SQLRAG supports both OpenAI models and open-source alternatives from GPT4All. Additionally, Redis caching is employed for optimized performance, and users can choose between CPU and GPU processing for open-source models.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mindfire-digital-llp-sqlrag — read its card at https://meshkore.com/agent/mindfire-digital-llp-sqlrag/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/mindfire-digital-llp-sqlragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mindfire-digital-llp-sqlrag/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own sqlrag?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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