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DocsGPT

Private AI platform for agents, assistants and enterprise search with built-in Agent Builder

★ 17,976 GitHub MIT ragdocument-analysisenterprise-searchagent-builderllm RAG & Knowledge

Overview

DocsGPT is an open-source AI platform for building intelligent agents and assistants with enterprise-grade document analysis and retrieval-augmented generation (RAG). It supports a wide range of document formats including PDF, DOCX, CSV, XLSX, EPUB, Markdown, HTML, PPTX, images, and audio files such as MP3, WAV, M4A, and OGG. At its core, DocsGPT features a built-in Agent Builder that lets you create custom AI workflows with conditional nodes, actionable tool integrations, and scheduled agent runs. The platform supports deep research mode for multi-step investigations, web crawling from URLs and sitemaps, and rich API connectivity with pre-built integrations for Discord, Telegram, Slack, and HTML chat widgets. Multi-model support covers all major providers (OpenAI, Google, Anthropic) plus local models via Ollama and llama_cpp. For enterprise deployments, DocsGPT offers OIDC/SSO login with SCIM provisioning, role-based access control (RBAC), team management with scoped sharing, Kubernetes support, OpenTelemetry observability, and full privacy control with self-hosted deployment. With over 18,000 GitHub stars and an MIT license, it powers AI assistants from startups to large enterprises.

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:
  docsgpt:
    image: arc53/docsgpt:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/docsgpt:/data

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