explorerhq/sql-explorer

AI-native SQL client for humans and agents. Query, explore, visualize, and open agent database work as editable SQL workspaces.

Agentic text-to-SQL SDK: hand the LLM one execute_sql tool and let it explore the schema, test queries, and self-correct — no RAG, no semantic layer. 20/20 on an 80-table Spider run. Built-in tracing and scenario support.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.

Chat2DB is a free, cross-platform, local-first database client and SQL workspace for developers, DBAs, analysts, and data teams. Connect to 40+ databases, manage data, edit and run SQL, and use your own AI model to generate, explain, and optimize queries. Available on desktop, web, Docker, and CLI, with MCP support.

Using LangGraph to build reliable SQL Agent

Simple SQL Client for lightweight data analysis.

Interact with your SQL database, Natural Language to SQL using LLMs

The Future of Data Engineering — A CLI SQL client for the modern data stack, enabling AI-native context engineering for data.