https://github.com/arc53/docsgpt
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.
https://github.com/arc53/docsgpt
agent-builder agents ai chatgpt docsgpt hacktoberfest hacktoberfest2025 information-retrieval language-model llm machine-learning natural-language-processing python pytorch rag react search semantic-search transformers
Last synced: 8 days ago
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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.
- Host: GitHub
- URL: https://github.com/arc53/docsgpt
- Owner: arc53
- License: mit
- Created: 2023-02-02T11:03:23.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2026-04-11T23:37:11.000Z (10 days ago)
- Last Synced: 2026-04-12T01:08:36.810Z (10 days ago)
- Topics: agent-builder, agents, ai, chatgpt, docsgpt, hacktoberfest, hacktoberfest2025, information-retrieval, language-model, llm, machine-learning, natural-language-processing, python, pytorch, rag, react, search, semantic-search, transformers
- Language: Python
- Homepage: https://app.docsgpt.cloud/
- Size: 87.1 MB
- Stars: 17,821
- Watchers: 95
- Forks: 2,021
- Open Issues: 68
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Agents: AGENTS.md
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- awesome-chatgpt - arc53/DocsGPT - DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. (Channel Resources / GitHub Projects)
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- awesome-langchain - DocsGPT - powered chat for documentation search & assistance.  (Open Source Projects / Knowledge Management)
- awesome-ai - Docs GPT - edge open-source solution that streamlines the process of finding information in the project documentation. |  | (Knowledge Manager)
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README
DocsGPT 🦖
Private AI for agents, assistants and enterprise search
DocsGPT is an open-source AI platform for building intelligent agents and assistants. Features Agent Builder, deep research tools, document analysis (PDF, Office, web content, and audio), Multi-model support (choose your provider or run locally), and rich API connectivity for agents with actionable tools and integrations. Deploy anywhere with complete privacy control.
⚡️ Quickstart • ☁️ Cloud Version • 💬 Discord
📖 Documentation • 👫 Contribute • 🗞 Blog
Key Features:
-
🗂️ Wide Format Support: Reads PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, images, and audio files such as MP3, WAV, M4A, OGG, and WebM. -
🎙️ Speech Workflows: Record voice input into chat, transcribe audio on the backend, and ingest meeting recordings or voice notes as searchable knowledge. -
🌐 Web & Data Integration: Ingests from URLs, sitemaps, Reddit, GitHub and web crawlers. -
✅ Reliable Answers: Get accurate, hallucination-free responses with source citations viewable in a clean UI. -
🔑 Streamlined API Keys: Generate keys linked to your settings, documents, and models, simplifying chatbot and integration setup. -
🔗 Actionable Tooling: Connect to APIs, tools, and other services to enable LLM actions. -
🧩 Pre-built Integrations: Use readily available 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: Run privately and securely with Kubernetes support, designed for enterprise-grade reliability.
## Roadmap
- [x] Add OAuth 2.0 authentication for MCP ( September 2025 )
- [x] Deep Agents ( October 2025 )
- [x] Prompt Templating ( October 2025 )
- [x] Full api tooling ( Dec 2025 )
- [ ] Agent scheduling ( Jan 2026 )
You can find our full roadmap [here](https://github.com/orgs/arc53/projects/2). Please don't hesitate to contribute or create issues, it helps us improve DocsGPT!
### Production Support / Help for Companies:
We're eager to provide personalized assistance when deploying your DocsGPT to a live environment.
[Get a Demo :wave:](https://www.docsgpt.cloud/contact)
[Send Email :email:](mailto:support@docsgpt.cloud?subject=DocsGPT%20support%2Fsolutions)
## Join the Lighthouse Program 🌟
Calling all developers and GenAI innovators! The **DocsGPT Lighthouse Program** connects technical leaders actively deploying or extending DocsGPT in real-world scenarios. Collaborate directly with our team to shape the roadmap, access priority support, and build enterprise-ready solutions with exclusive community insights.
[Learn More & Apply →](https://docs.google.com/forms/d/1KAADiJinUJ8EMQyfTXUIGyFbqINNClNR3jBNWq7DgTE)
## QuickStart
> [!Note]
> Make sure you have [Docker](https://docs.docker.com/engine/install/) installed
A more detailed [Quickstart](https://docs.docsgpt.cloud/quickstart) is available in our documentation
1. **Clone the repository:**
```bash
git clone https://github.com/arc53/DocsGPT.git
cd DocsGPT
```
**For macOS and Linux:**
2. **Run the setup script:**
```bash
./setup.sh
```
**For Windows:**
2. **Run the PowerShell setup script:**
```powershell
PowerShell -ExecutionPolicy Bypass -File .\setup.ps1
```
Either script will guide you through setting up DocsGPT. Five options available: using the public API, running locally, connecting to a local inference engine, using a cloud API provider, or build the docker image locally. Scripts will automatically configure your `.env` file and handle necessary downloads and installations based on your chosen option.
**Navigate to http://localhost:5173/**
To stop DocsGPT, open a terminal in the `DocsGPT` directory and run:
```bash
docker compose -f deployment/docker-compose.yaml down
```
(or use the specific `docker compose down` command shown after running the setup script).
> [!Note]
> For development environment setup instructions, please refer to the [Development Environment Guide](https://docs.docsgpt.cloud/Deploying/Development-Environment).
## Contributing
Please refer to the [CONTRIBUTING.md](CONTRIBUTING.md) file for information about how to get involved. We welcome issues, questions, and pull requests.
## Architecture
## Project Structure
- Application - Flask app (main application).
- Extensions - Extensions, like react widget or discord bot.
- Frontend - Frontend uses Vite and React.
- Scripts - Miscellaneous scripts.
## Code Of Conduct
We as members, contributors, and leaders, pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. Please refer to the [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) file for more information about contributing.
## Many Thanks To Our Contributors⚡
## License
The source code license is [MIT](https://opensource.org/license/mit/), as described in the [LICENSE](LICENSE) file.
## This project is supported by:
