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DB-GPT

Active
GitHub Python MIT

Description

DB-GPT is an open-source agentic AI data assistant framework integrating multi-agent collaboration, RAG, and AWEL workflow engine, purpose-built for AI+Data applications.

Key Features

  • Agentic data analysis with end-to-end task planning, tool calling, and workflow execution
  • Autonomous SQL and Python code generation for data querying and analysis
  • Multi-source data access: databases, CSV/Excel, data warehouses, and knowledge bases
  • Skills-driven extensibility for packaging domain knowledge into reusable workflows
  • Sandboxed execution environments for safe and reliable code running
  • Generates charts, dashboards, HTML reports, and analysis summaries

Use Cases

💡 Analyze CSV/Excel files and generate visual reports
💡 Connect to databases and produce profiling reports with natural language queries
💡 Perform financial report analysis with code, charts, and narrative summaries
💡 Build AI-native data assistants for teams and products
💡 Create and reuse SQL analysis skills and domain workflows

Strengths & Limitations

✅ Strengths

  • • Actively maintained, recent updates
  • • High community interest (19.8k stars)
  • • Permissive open-source license (MIT)
  • • Established track record (3 years in production)

Tags

database multi-agent rag python

Categories

🧠 Multi-Agent 📚 RAG Tools

Quick Start

1. Install: curl -fsSL https://raw.githubusercontent.com/eosphoros-ai/DB-GPT/main/scripts/install/install.sh | bash
2. Or with API key: curl ... | OPENAI_API_KEY=sk-xxx bash -s -- --profile openai
3. Start: cd ~/.dbgpt/DB-GPT && uv run dbgpt start webserver --profile <profile>
4. Open http://localhost:5670
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