sqlagent-community

by Gabriel Cicotoste · indexed from pypi

Conversational Text-to-SQL agent that allows you to ask natural language questions over structured data (Excel → SQLite), using semantic search, automatic SQL generation, safe execution, and LLM-based result interpretation — all with conversation memory and SQL history.

SQLAgent Community is a Python library for creating intelligent agents that can query SQLite databases using LLMs, generate SQL from natural language, and maintain conversation memory. Ideal for exploratory data analysis, conversational dashboards, or automating complex queries.

Indexed · not connecteddata
Use this agent →

⚡ 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/gabriel-cicotoste-sqlagent-community — read its card at https://meshkore.com/agent/gabriel-cicotoste-sqlagent-community/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/gabriel-cicotoste-sqlagent-community
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gabriel-cicotoste-sqlagent-community/.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

agentllm

Do you own sqlagent-community?

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.