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FastGPT

Open-source knowledge base platform with RAG retrieval, AI workflow orchestration, and MCP support

★ 28,930 GitHub Apache-2.0 ragknowledge-baseworkflowllmmcpretrievalagent RAG & Knowledge

Overview

FastGPT is a powerful open-source knowledge base platform built on large language models (LLMs), designed to help you build AI-powered applications with minimal effort. With 29K+ GitHub stars, it offers a comprehensive suite of out-of-the-box capabilities including data processing, RAG retrieval, and visual AI workflow orchestration. What sets FastGPT apart is its intuitive drag-and-drop workflow editor that lets you create complex AI automation pipelines without writing code. You can connect different LLMs (OpenAI, Claude, DeepSeek, Qwen, etc.), build RAG pipelines with custom data processing, and deploy MCP-compatible AI agents — all from a single interface. The platform supports multi-user collaboration, API integration, and enterprise-grade deployment with Docker. FastGPT is ideal for teams building knowledge management systems, customer support bots, document analysis tools, or any application that needs LLM-powered retrieval and generation. Its modular architecture allows you to start simple and scale up to complex multi-agent workflows as your needs grow.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  fastgpt:
    image: c121914yu/fastgpt:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/fastgpt:/data

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