daniel3303/AgentQL

Reusable .NET library that translates EF Core models into LLM-friendly schema descriptions and provides safe SQL query execution for AI agents.

31
/ 100
Emerging

This is a .NET library for developers building applications that need to talk to a database using natural language. It takes your existing EF Core database models and translates them into a format that large language models (LLMs) can understand. The LLM can then generate safe SQL queries to extract data, which the library executes and returns to the application. This is ideal for .NET developers looking to add AI-driven data querying capabilities to their applications, allowing users to ask questions about their data in plain English.

Use this if you are a .NET developer building an application where you want to enable an AI agent or chatbot to interact with your EF Core database using natural language, providing safe and controlled data access.

Not ideal if you are looking for an out-of-the-box, end-user application or if you are not working within the .NET ecosystem using EF Core.

AI-powered applications Database interaction Natural language querying Data access Developer tools
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 11 / 25
Community 4 / 25

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Stars

21

Forks

1

Language

C#

License

MIT

Category

text-to-sql-rag

Last pushed

Mar 10, 2026

Commits (30d)

0

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