Project Title

DocsGPT — Private AI Platform for Building Intelligent Agents and Assistants

Overview

DocsGPT is an open-source AI platform designed for building intelligent agents and assistants with a focus on privacy and control. It offers an Agent Builder, deep research tools, document analysis, multi-model support, and rich API connectivity. The platform is designed to be deployed anywhere, ensuring complete privacy control and flexibility in choosing AI providers or running locally.

Key Features

Wide Format Support: Reads PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, and images.
Web & Data Integration: Ingests from URLs, sitemaps, Reddit, GitHub, and web crawlers.
Reliable Answers: Provides accurate, hallucination-free responses with source citations viewable in a clean UI.
Streamlined API Keys: Generates keys linked to settings, documents, and models, simplifying chatbot and integration setup.
Actionable Tooling: Connects to APIs, tools, and other services to enable LLM actions.
Pre-built Integrations: Offers HTML/React chat widgets, search tools, Discord/Telegram bots, and more.
Flexible Deployment: Works with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp).
Secure & Scalable: Runs privately and securely with Kubernetes support, designed for enterprise-grade reliability.

Use Cases

Building private AI assistants for enterprise search and document analysis.
Creating chatbots and integrations with various APIs and tools for enhanced functionality.
Deploying AI models locally or choosing from multiple providers for customized solutions.
Ensuring data privacy and control in AI-driven applications.

Advantages

Complete privacy control and flexibility in deployment.
Supports a wide range of document formats and data sources.
Provides reliable and accurate AI responses with source citations.
Offers pre-built integrations and tools for quick setup and deployment.
Designed for enterprise-grade security and scalability.

Limitations / Considerations

The project's license is currently unknown, which may affect its use in certain commercial applications.
The platform's complexity may require a steeper learning curve for new users.
Customization and integration with specific tools or services may require additional development effort.

LangChain: A framework for building applications with LLMs, focusing on modularity and composability. Unlike DocsGPT, LangChain emphasizes modular components rather than a full-stack solution.
Rasa: An open-source machine learning framework for automated text and voice-based conversations. Rasa is more conversation-focused, while DocsGPT offers a broader range of document analysis and AI capabilities.
Meena: A 2.6B parameter dialogue model by Google, focused on conversational AI. Meena is a model itself, whereas DocsGPT provides a platform for building and deploying AI agents and assistants.

Basic Information

GitHub: https://github.com/arc53/DocsGPT
Stars: 17,050
License: Unknown
Last Commit: 2025-09-08

📊 Project Information

Project Name: DocsGPT
GitHub URL: https://github.com/arc53/DocsGPT
Programming Language: TypeScript
⭐ Stars: 17,050
🍴 Forks: 1,797
📅 Created: 2023-02-02
🔄 Last Updated: 2025-09-08

🏷️ Project Topics

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📚 Documentation

This article is automatically generated by AI based on GitHub project information and README content analysis

DocsGPT

Project Description