arc53/DocsGPT

Project overview

DocsGPT is an open-source platform for building intelligent agents and performing enterprise search over company data with privacy controls. It supports self-hosted deployment, multiple LLM providers, and a wide range of document and web data formats.

Project type

AI Agent · RAG

Use cases

Knowledge Q&A · Search & Research · Automation

Deployment

Refer to project documentation

License

MIT

Best for

• Enterprise teams and developers who require a self-hosted AI platform for enterprise search and agent automation with privacy controls.
• Organizations that need to analyze a wide variety of document formats and web data while relying on either local inference or major external LLM APIs.

Key capabilities

• Reads and ingests PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, images, and audio files for analysis.
• Ingests data directly from URLs, sitemaps, Reddit, GitHub, and web crawlers to build a searchable knowledge base.
• Provides responses with source citations displayed directly in the UI to reduce hallucinations.
• Generates API keys linked to specific user settings, ingested documents, and chosen models for external integrations.
• Connects to external APIs, tools, and services to enable automated LLM actions and agent workflows.

Limitations and risks

• Docker is required to run the platform for quickstart deployment.
• If local models are not used, there is a potential dependency on paid external API providers.
• Minimum hardware requirements beyond Docker, GPU requirements, and telemetry practices are not documented.

Getting started

• Clone the repository, run the automated setup script to handle installation and configuration, choose a deployment option, and navigate to localhost:5173 to access the platform.

Evidence and sources

• README: DocsGPT</a></strong> is an open-source AI platform for building intelligent agents and assistants. Features Agent Builder, deep research tools, document analysis (PDF, Office, web…
• README: - [x] Agent Workflow Builder with conditional nodes ( February 2026 ) - [x] Research mode ( March 2026 ) - [x] SharePoint & Confluence connectors ( March – April 2026 ) - [x] Post…
• GitHub project description: Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
• README: Wide Format Support:</strong> Reads PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, images, and audio files such as MP3, WAV, M4A, OGG, and WebM.
• README: Flexible Deployment:</strong> Works with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp).

Reviewed at: 2026-07-17T12:50:19Z