# apconw/Aix-DB

Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。

Repository: https://github.com/apconw/Aix-DB
Canonical: https://ross.abutalabs.com/products/aix-db
Language: JavaScript
License Family: other
Topics: bigdata, dify, qwen, echarts, sanic, text2sql, vue3, python, deepseek-r1, mcp, lamaindex, langchain, langgraph-python, neo4j, skils, cli, hermes, openclaw
Last push: 2026-06-22T06:39:44+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 66, longevity 46
- inputs: {"age_days": 656, "days_push": 72, "days_rel": 144, "gap_med": 35, "n_releases_24m": 16}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2234, forks 430 (observed 2026-08-28T04:06:29.261783+00:00)

## What it is
Aix-DB is an AI-powered data analysis system (ChatBI) built on LangChain/LangGraph with an MCP Skills multi-agent architecture, converting natural language questions into SQL queries, data insights, and visualizations. It ships as a self-hosted web application with a Vue3 frontend and Python/Sanic backend, deployable via Docker.

## Use cases
- query databases with natural language
- text-to-sql generation for analytics
- conversational business intelligence chatbi
- visualize query results as charts automatically
- build multi-agent data analysis workflows with mcp
- answer questions over spreadsheets and tables
- self-hosted chatbi alternative for data teams

## When to choose
- you want a self-hosted ChatBI/text2sql platform with visualization
- you need multi-agent orchestration via LangGraph and MCP skills
- you want an open-source alternative to Dify-style data Q&A tools

## When to avoid
- you need a lightweight library to embed in your own app rather than a full application
- you require a permissive license - the repo has no explicit license
- you only need simple SQL generation without agent orchestration or visualization

## Facets
- artifact type: application
- maturity: active
- function: rag, llm-inference, data-visualization, chatbot, agent-framework, mcp, charts, nlp
- domain: large-language-models, data-visualization, analytics, big-data, databases, chatbots
- platform: python, self-hosted, cross-platform
- tags: text2sql, chatbi, langchain, langgraph, multi-agent, echarts, neo4j, data-analysis, nl2sql, retrieval-augmented-generation, ai-agents, web-server, docker

## Member repositories
- apconw/Aix-DB (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.261783+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:44:22.514449+00:00, confidence not recorded.
  - readme: https://github.com/apconw/Aix-DB (fetched 2026-08-28T04:06:29.261783+00:00, sha 52459ef4bdfc)
- Data as of 2026-08-30T08:39:29.467469+00:00.