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FastGPT

labring/FastGPT

A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems

GitHub Website

GraphCanon updated 4d · GitHub synced 4d

29k stars7.3k forksLast push 4d TypeScript Other

Decision brief

FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable

Good fit when

  • You prioritize ease of setup and configuration for advanced AI applications.
  • Your project requires integration of visual workflow orchestration tools without heavy initial set up.

Avoid when

  • If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support.
  • When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality.

Observed Jul 11, 2026 · Source: enrich:decision_facts

FastGPT alternativesTrust report
FastGPT vs langchainFastGPT vs langflowFastGPT vs openchat

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of 4d
Provenance
Not a fork · Organization account
As of 4d
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install FastGPT
npm

How it fits your stack(12)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

FastGPT provides comprehensive capabilities including data processing, RAG retrieval, and visual AI workflow orchestration for creating sophisticated question-answering systems with less setup.

Capability facts

MCP server
No MCP server detected

Source: repo_scan · Aug 16, 2026

Languages
typescript, javascript

Source: github.language+package.json · Aug 16, 2026

Categories

AI AgentsData & RetrievalLLM Frameworks

Tags

agentclaudedeepseekllmmcpnextjsopenaiqwen

README

FastGPT

English | 简体中文 | Bahasa Indonesia | ไทย | Tiếng Việt | 日本語

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。

cloud document development project

https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4

快速开始

可以通过 Docker 快速启动 FastGPT，在终端输入以下命令，根据引导完成输入即可拉取配置。

# 输入命令拉取配置文件
bash <(curl -fsSL https://doc.fastgpt.io/deploy/install.sh)
# 启动
docker compose up -d

完全启动后，可通过 http://localhost:3000 访问 FastGPT，默认账号为 root，密码为 1234。

如果你遇到问题，可以查看完整 Docker 部署教程

🛸 使用方式

  • 云服务版本
    如果你不需要私有化部署，可以直接使用我们提供的云服务版本，地址为：fastgpt.io

  • 社区自托管版本
    可以使用Docker快速部署，也可以使用Sealos Cloud 来一键部署FastGPT。

  • 商业版
    如果你需要更完整的功能，或深度的服务支持，可以选择我们的商业版。我们除了提供完整的软件外，还提供相应的场景落地辅导，具体可提交商业咨询

💡 核心功能

1 应用编排能力

  • Agent Skill 编排
  • 对话工作流、插件工作流，包含基础的 RPA 节点
  • 用户交互
  • 双向 MCP
  • 辅助生成工作流

2 应用调试能力

  • 知识库单点搜索测试
  • 对话时反馈引用并可修改与删除
  • 完整调用链路日志
  • 应用评测
  • 高级编排 DeBug 调试模式
  • 应用节点日志

3 知识库能力

  • 多库复用，混用
  • chunk 记录修改和删除
  • 支持手动输入，直接分段，QA 拆分导入
  • 支持 TXT，MD，HTML，PDF，Docx，PPTX，CSV，XLSX (有需要更多 File Loader 可 PR )，支持 URL 读取、CSV 批量导入
  • 混合检索 & 重排
  • API 知识库

4 插件能力

  • 系统工具热更新
  • RAG 模块热更新
  • Agent-loop 热更新
  • AI 实时生成插件

5 运营能力

  • 免登录分享窗口
  • iframe 一键嵌入
  • 统一查阅对话记录，并对数据进行标注
  • 应用运营日志
#

💪 我们的项目 & 链接

#

🌿 第三方生态

For agents

This page has a .md twin and JSON over the API.

/tools/labring-fastgpt.mdGET /api/graphcanon/tools/labring-fastgptGET /api/graphcanon/graph?tool=labring-fastgpt

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