Ross ROSS = Recommend OSS · open-source software intelligence for agents

vanna-ai/vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄. observed · 2026-08-28

github.com/vanna-ai/vanna · homepage · Python · MIT (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 65
  • Release rhythm 68
  • Longevity 86

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 23.5
  • age_days: 1208
  • days_rel: 212
  • days_push: 212
  • n_releases_24m: 11

Full methodology

Adoption not part of the score

23818 stars · 2486 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Vanna is an open-source Python framework for building user-aware AI agents that translate natural-language questions into SQL queries, charts, and summaries against your database. It combines LLM tool use with agent memory that learns from successful question-SQL pairs, and ships with a streaming web chat component and FastAPI/Flask server integrations.

Use cases

  • chat with my sql database in natural language
  • generate sql queries from plain english questions
  • build a text-to-sql ai agent for postgres or snowflake
  • let non-technical users query a database with llm
  • auto-generate charts and tables from natural language questions
  • add row-level security to an ai data assistant
  • embed a chat interface for database analytics in a web app

When to choose

  • you want users without SQL skills to explore relational databases via natural language
  • you need a production-ready text-to-SQL agent with auth, audit logs, and rate limiting
  • you want an agent that improves over time by remembering successful question-SQL pairs
  • you need flexibility across many LLM providers and SQL databases

When to avoid

  • you need general-purpose LLM agents unrelated to SQL or databases
  • you require guaranteed-correct SQL without human review, since LLM-generated queries can be wrong
  • you want a no-code hosted product only - Vanna is a developer framework requiring Python integration

Facets

library · maturity active

agent-framework rag llm-inference data-visualization database chatbot api-framework large-language-models databases data-science analytics developer-tools python self-hosted cross-platform text-to-sql nl2sql sql-agent plotly fastapi streaming row-level-security agent-memory vector-store ai-agents retrieval-augmented-generation web-server

7 sources

Member repositories

RepositoryRoleHealth v2
vanna-ai/vannamain10

For agents

markdown · JSON · MCP: product_card(name="vanna-ai/vanna")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem