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    eosphoros-ai

    eosphoros-ai/DB-GPT

    open-source agentic AI data assistant for the next generation of AI + Data products.

    database
    ai
    llm
    security
    agents
    bgi
    deepseek
    gpt
    gpt-4
    Python
    MIT
    20.3K stars
    3.0K forks
    144 GitHub watchers
    Updated Nov 8, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    1 release in the last 90 days, the latest 74 days ago, with 202 contributors on GitHub.

    Use Cases & Benefits

    • Provides an open-source AI-native data app development framework with agentic workflow orchestration and multi-model management.
    • Enables simplified, low-code creation of large model applications integrating diverse data sources and advanced AI capabilities like RAG and fine-tuning.
    • Use for building private domain Q&A systems and knowledge bases with unified vector storage and custom data extraction plugins.
    • Use for developing generative business intelligence applications that generate analytical reports from multiple data sources via natural language.
    • Use for implementing automated Text2SQL fine-tuning pipelines to optimize large language models for domain-specific database querying.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

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    From the README

    🤖 DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents.

    The purpose is to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

    🚀 In the Data 3.0 era, based on models and databases, enterprises and developers can build their own bespoke applications with less code.

    Excerpt from the eosphoros-ai/DB-GPT README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    3.0K+130

    Open issues

    503+80

    Compared with peers in Database

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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