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Smolsqlagents

Smolsqlagents is an open-source Python suite of AI agents that discovers database schemas and relationships, generates database documentation, converts natural-language requests to SQL, and supports semantic search over database documentation.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Smolsqlagents — OpenViST project profile in Data Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when building a self-hosted workflow that connects database discovery and documentation with semantic retrieval and natural-language SQL generation.

Who it is for

  • Developers building database-aware assistants or data exploration tools.
  • Teams seeking to document database structures and search that documentation in natural language.
  • Python practitioners interested in a self-hosted, multi-agent SQL project.

Documented uses

  • Discover database schemas and relationships.
  • Generate structured documentation for database tables and relationships.
  • Find relevant database entities using semantic search and business context.
  • Translate natural-language questions into SQL.
Before you choose

Requirements & limits

The repository is public and identifies the project as open source under the MIT license.

  • The documented architecture uses Python agents, a React frontend, a Flask backend, OpenAI embeddings, and ChromaDB.
  • The business-context agent loads YAML-defined concepts and can provide join-validation context.
  • The README includes component start commands, but does not document database connection setup in the available material.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start the frontend and Flask backend

Install the listed frontend and backend dependencies and start each component using the repository README commands.

Before you start

  • A local copy of the repository.
  • Node.js and npm for the React frontend.
  • Python and pip for the Flask backend.

Steps

  1. In a terminal, change to web-ui/frontend.

  2. Run the command below, then the command below.

    Documented command
    npm install
    Documented command
    npm start

  3. In another terminal, change to smol-sql-agents/backend.

  4. Run the command below, then the command below.

    Documented command
    pip install -r smol-sql-agents/backend/requirements.txt
    Documented command
    python smol-sql-agents/backend/app.py

Expected outcome

The README provides commands to start the React frontend and Flask backend.

Guide limitations

  • The instructions do not specify database connection configuration or credentials.
  • Starting these components does not establish that a particular database or complete deployment will work.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
montraydavis/SmolSQLAgents · Official homepage title · retained in its source language
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