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

DB-GPT

open-source agentic AI data assistant for the next generation of AI + Data products. observed · 2026-10-13

github.com/eosphoros-ai/DB-GPT · homepage · Python · MIT (permissive) observed · 2026-10-13

Health v2 · maintenance only

91/100

  • Activity 99
  • Release rhythm 80
  • Longevity 91
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 44
  • age_days: 1286
  • days_rel: 55
  • days_push: 9
  • n_releases_24m: 12

Full methodology

Adoption not part of the score

20127 stars · 2964 forks observed · 2026-10-13

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.97

DB-GPT is an open‑source agentic AI data assistant that connects to databases, files and knowledge bases, then generates SQL, code and visual reports. It provides a CLI, web UI and extensible skill system for building autonomous data workflows.

Use cases

  • Generate SQL queries from natural‑language questions
  • Analyze CSV or Excel files with AI‑driven metrics and visualizations
  • Build autonomous agents that orchestrate multi‑step data pipelines
  • Create interactive dashboards and HTML reports from database queries
  • Run Python or code snippets in a sandboxed environment for safe processing
  • Perform retrieval‑augmented generation over documents and knowledge bases
  • Orchestrate complex data workflows using the AWEL workflow language

When to choose

  • You need an AI‑powered assistant that can write SQL and code automatically
  • Your project requires multi‑source data access (databases, spreadsheets, documents)
  • You want to build custom, reusable AI agents or skills for data tasks
  • You prefer a self‑hosted, open‑source solution with extensible plugins

When to avoid

  • You only need simple static SQL queries without AI assistance
  • You lack the compute resources for running large language models locally
  • You require a fully managed commercial BI platform with dedicated support
  • Your environment does not allow installation of Python or Docker containers

Facets

application · maturity active

agent-framework rag cli http-server database-driver data-science artificial-intelligence databases web-development machine-learning windows cloud cli sql-generation data-analysis knowledge-base sandboxed-execution multi-model open-source data-engineering linux macos docker web-server

10 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="eosphoros-ai/DB-GPT")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem