DB-GPT
open-source agentic AI data assistant for the next generation of AI + Data products. observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 99
- Release rhythm 87
- Longevity 88
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: 43.5
- age_days: 1238
- days_rel: 7
- days_push: 7
- n_releases_24m: 13
Adoption not part of the score
19800 stars · 2892 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DB-GPT is an open-source agentic AI data assistant that connects to databases, spreadsheets, and knowledge bases, autonomously writes SQL and code, and turns analysis into charts, dashboards, and reports. It also serves as a platform for building AI-native data agents and workflows using its AWEL orchestration language, RAG, and multi-model management framework.
Use cases
- query databases with natural language
- convert business questions to SQL automatically
- analyze CSV and Excel files with AI
- generate charts and analysis reports from data
- build AI agents for data tasks
- run RAG over internal knowledge bases
- chat with my database privately
- orchestrate LLM workflows for data analysis
When to choose
- you want a self-hosted, private AI assistant over your databases and files
- you need natural-language-to-SQL plus autonomous code execution in one tool
- you want to build agentic data workflows with RAG and multiple LLM providers
- you need sandboxed execution and report generation for data analysis
When to avoid
- you only need a lightweight text-to-SQL library to embed in an existing app
- you cannot run a web server or lack GPU/API access for LLMs
- you need a fully managed cloud data platform with enterprise support
- your use case is general chatbot building unrelated to data
Facets
application · maturity active
agent-framework rag llm-inference chatbot data-visualization database workflow-automation web-framework artificial-intelligence databases data-science large-language-models analytics developer-tools python self-hosted text-to-sql awel multi-model-management sandboxed-code-execution data-assistant chat-with-data mit-license ai-agents retrieval-augmented-generation linux macos docker web-server gpu
10 sources
- readme: https://github.com/eosphoros-ai/DB-GPT · fetched 2026-08-28 · e9856efbb23e
- homepage: http://docs.dbgpt.cn · fetched 2026-08-29 · 1065d909c200
- site_page: http://docs.dbgpt.cn/docs/overview · fetched 2026-08-29 · e3815b3c8254
- site_page: http://docs.dbgpt.cn/docs/next/overview · fetched 2026-08-29 · ed03e3cf3471
- site_page: http://docs.dbgpt.cn/docs/v0.8.0/overview · fetched 2026-08-29 · 7c3f81c25200
- site_page: http://docs.dbgpt.cn/docs/installation · fetched 2026-08-29 · 683f6adac1ce
- site_page: http://docs.dbgpt.cn/docs/use_cases · fetched 2026-08-29 · dc3a4c2b3c23
- site_page: http://docs.dbgpt.cn/docs/getting-started/deploy/source-code · fetched 2026-08-29 · 085ead6979dd
- site_page: http://docs.dbgpt.cn/docs/getting-started/cli-quickstart · fetched 2026-08-29 · 246b1bd77f08
- site_page: http://docs.dbgpt.cn/docs/installation/docker · fetched 2026-08-29 · c1df8716be22
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| eosphoros-ai/DB-GPT | main | 93 |
| eosphoros-ai/DB-GPT-Hub | plugin | 33 |
For agents
markdown · JSON · MCP: product_card(name="eosphoros-ai/DB-GPT")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem