labring

    labring/FastGPT

    FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

    30.0K stars
    7.4K forks
    148 GitHub watchers
    Updated Nov 6, 2026
    View on GitHub

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    Where it stands

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

    5 releases in the last 90 days, the latest today, with 199 contributors on GitHub.

    Use Cases & Benefits

    • Provides a knowledge-based AI platform with out-of-the-box data processing, retrieval-augmented generation, and visual workflow orchestration for building complex question-answering systems.
    • Enables rapid development and deployment of AI agents without extensive setup, supporting multi-model integration and rich knowledge base management.
    • Use for creating custom AI-powered chatbots that leverage multiple knowledge bases and support diverse document formats for enterprise customer support.
    • Use for orchestrating AI workflows visually to automate complex tasks involving data retrieval, model calls, and user interactions in business applications.
    • Use for deploying scalable AI services quickly using Kubernetes-based Sealos deployment, ideal for teams needing high concurrency and dynamic scaling.

    Should you depend on it?

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

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    FastGPT 是一个 AI Agent 构建平台,提供开箱即用的数据处理、模型调用等能力,同时可以通过 Flow 可视化进行工作流编排,从而实现复杂的应用场景!

    Excerpt from the labring/FastGPT README on GitHub (NOASSERTION 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

    7.4K+112

    Open issues

    151-16

    Compared with peers in AI Agents

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

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    labring/FastGPT30.0K—35today
    Category median115.8K+8.4K75—

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