Our take
- Activity
- 20
- Community
- 16
- Issues
- 21
- Pull requests
- 21
+2 stars in the last 16 days
- Fewer contributors than 86% of the projects we track
Overview
AingDesk brings AI chat, model connections, knowledge bases, web search, and agent creation into one assistant. It supports both local AI models and model APIs, aiming to make these capabilities accessible through a beginner-friendly interface.
It is available as a macOS or Windows client and can also be deployed on a server. Consider it when you want a single application for personal AI use or a server-hosted assistant that others can access.
Key Features
- Connect to local AI models and mainstream model APIs.
- Create and use local knowledge bases.
- Build intelligent agents.
- Search the web from the assistant.
- Share assistants online for others to use.
- Deploy the application on a server.
- Use its MCP client.
Use Cases
- AI newcomers can try model APIs and local models through a single assistant interface.
- Individuals can query a local knowledge base alongside AI chat.
- Teams or communities can host an assistant on a server and share it with others.
- Users who need task-specific assistants can create agents and combine them with web search.
Getting Started
For the desktop client, download it from the official website or the GitHub releases page. For a server deployment, the README provides Docker and Docker Compose instructions. See the README and documentation for setup details.
Alternatives
- rag-web-ui: RAG Web UI focuses on self-hosted document question answering, while AingDesk is a broader assistant interface with agents, web search, and desktop use.
- LLM Wiki: LLM Wiki builds a persistent, interlinked wiki from documents, while AingDesk provides a general-purpose assistant with model, agent, and search options.
| Project | Language | License | Stars | Status |
|---|---|---|---|---|
| AingDesk | TypeScript | MIT | 2.5k | Not checked yet |
| rag-web-ui | TypeScript | Apache-2.0 | 3.3k | Quiet |
| llm_wiki | TypeScript | – | 20.9k | Active |
Considerations
The project describes itself as rapidly growing, so capabilities and setup may evolve. Simultaneous conversations with multiple models in one session are listed as coming soon, not as an available feature. The README offers separate desktop and server installation paths, so choose the one that fits how you plan to use and host the assistant.
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