AingDesk -A simple and easy-to-use open source AI assistant
Software platform: Windows macOS
Software introduction: An AI assistant that supports local AI models, APIs and knowledge base settings, supports sharing, online search, and agents.
Support one-click deployment of local AI models and mainstream model APIs, intelligent agents, online sharing, web search, and server deployment.
1. Project background and positioning
AingDesk is an open source desktop AI assistant platform for ordinary users and developers who want to easily use local AI models and knowledge bases. It lowers the technical threshold for the application of AI models and makes it simple, portable and free to “apply AI to practical problems.”
2. Detailed explanation of core functions
✅ 1. One-click deployment of local models
- Supports many popular models such as DeepSeek, LLaMA, and Yi.
- Provides a one-click installation experience, greatly simplifying the deployment process.
- Supports parallel use of multiple models (coming soon).
✅ 2. Built-in knowledge base function
- Users can upload documents and texts to build a local knowledge base.
- Support the privatization of local question and answer systems and realize customized semantic search.
- Use RAG (Retrieval Enhanced Generation) ideas to accurately answer document-based questions.
✅ 3. Model API call integration
- Integrate calls to model APIs such as OpenAI and Moonshot.
- Local and remote models coexist and switch freely according to needs.
✅ 4. Online search capabilities
- Support search engines such as Baidu and Sogou for real-time information completion.
- Achieve in-depth integration of information and model responses.
✅ 5. Agent management
- Users can configure personalized AI agents and set parameters such as work roles and contexts.
- Suitable for task agents in multiple scenarios (such as writing assistants, customer service robots, document retrieval, etc.).
✅ 6. Model sharing and collaboration
- Support the generation of Web sharing links to share local model services with others for online use.
- Model deployment is not limited to native machines, but also supports Docker deployment on the server side.
✅ 7. Simple and easy-to-use client interface
- Supports Windows and macOS.
- Multilingual UI covers 20+ languages including Chinese, English, and Japanese.
- The interface is friendly and suitable for zero-foundation users to get started quickly.
3. Deployment method
🌐Client version
- It can be downloaded directly from the official website or GitHub.
- Support Windows/macOS and support Linux in the future.
Server deployment method
- Support quickly building server versions using Docker and Docker Compose.
- Suitable for enterprise privatization deployment and local area network sharing model services.
4. Project highlights
| characteristics | description |
|---|---|
| Open source free | Full MIT protocol, both personal and commercial |
| 📁Local privacy protection | Data does not exist locally, and the private knowledge base is safe and controllable |
| Multi-model collaboration | Support switching between different models for dialogue |
| Share online | Support generation of accessible links, no threshold for remote collaboration |
5. Applicable groups and scenarios
- Ordinary users who want to experience AI models at a low cost
- Individuals or businesses with private knowledge management needs
- An underlying tool platform for developers to do secondary development or integration
- Education, document management, AI Q & A, assistant and other scenarios
6. Conclusion
AingDesk is committed to making an AI assistant platform that is “available to everyone” without relying on cloud services or requiring a deep technical background. It breaks down barriers between local models, APIs, knowledge bases and agents, providing everyone with a more private, customized, and controllable AI experience.
📂GitHub address:
👉 https://github.com/aingdesk/AingDesk
Official website download:
👉 https://www.aingdesk.com
Software Download:https://github.com/aingdesk/AingDesk
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