AingDesk: Open-Source AI Tool Lets You Deploy Hundreds of Models with One Click, Run Locally, and Search Online

Written by
Iris Vance
Updated on:June-15th-2025
Recommendation

An innovative AI model management tool that makes AI deployment and management easier than ever before.
Core content:
1. One-click deployment of hundreds of AI models without complex configuration
2. Supports real-time online search, breaking the knowledge deadline limit
3. Five core functions, covering the needs of technical novices, team managers and privacy-sensitive people

 
Yang Fangxian
Founder of 53A/Most Valuable Expert of Tencent Cloud (TVP)

What is "AingDesk"?
This is an out-of-the-box local AI model management tool. With just a click of the mouse, you can deploy hundreds of large AI models such as DeepSeek, Llama, Gemma, etc. to your computer. Whether it is academic research, office automation, or team collaboration, it can make AI capabilities as simple as installing ordinary software.

Why do you need AingDesk?

Imagine: no cloud account required, no reliance on network latency, running AI models directly on local computers, and real-time online search for the latest information - this is the revolutionary experience brought by AingDesk. Its emergence completely solves the three major pain points of "complex environment configuration", "chaotic model management," and "privacy leakage risks" in traditional AI deployment, and is especially suitable for the following groups:

  • Technical noob: Say goodbye to the command line, installing the model is easier than downloading a game
  • Team managers: share model links with one click, members do not need to configure repeatedly
  • Privacy-sensitive people: All data processing is done locally to completely prevent data leakage

Five core functions revealed

Zero-threshold model deployment

From DeepSeek to Llama, there are hundreds of models for you to choose from. The system will automatically recommend the appropriate version based on your computer configuration (CPU/GPU/memory), and you can switch between models with different parameters from 7B to 32B at will. The installation process is displayed visually with a progress bar.

Real-time online evidence search

Exclusively integrate Baidu/Sogou/360 three major search engines, so that AI answers are no longer limited to "knowledge deadlines". After checking "online search", ask "the latest AI policy in 2025" and get an in-depth analysis with real-time data sources immediately.

Private knowledge base construction

It supports one-click import of documents in PDF/TXT/Markdown and other formats, and automatically classifies them through semantic tags. After uploading the company's product manual, AI can accurately locate "After-sales Service Terms on Page 32", and the retrieval speed is 200 times faster than manual retrieval.

Sharing black technology across platforms

After deploying the 32B large model on the office computer, generate a dedicated sharing link and send it to team members. Even if they use the 4G network on their mobile phones, they can still call your local AI computing power smoothly, completely breaking the hardware limitations.

Intelligent Factory

It has more than 20 built-in templates for business writing, multilingual translation, etc., and supports customized workflows. For example, you can create a "new media operation assistant" to automatically complete the entire process of "hotspot capture → title generation → illegal word detection", which can improve work efficiency by 90%.

Technical architecture analysis

Technology Modules
Implementation
User Perceived Value
Model Management Engine
Secondary development based on Ollama
Automatically handle dependency environment and version conflicts
Knowledge base system
BGE-M3 vector model + semantic retrieval algorithm
Retrieve millions of documents in seconds
Multi-language support
Internationalization (i18n) framework
Seamless switching between 21 languages
Network communication protocols
WebSocket persistent connection
Model sharing delay is less than 0.5 seconds
Security system
MIT open source protocol + local data encryption
Enterprise-level privacy protection

Eight application scenarios

Scenario 1: Paper Writing Accelerator

After uploading 200 PDF documents, enter "Help me compare the advantages and disadvantages of CNN and Transformer in image recognition", and AI will automatically extract the core ideas of each document and generate a comparison table.

Scenario 2: Enterprise Knowledge Hub

After a technology company imported product documents and after-sales cases into its knowledge base, a customer service representative asked, "Solution to error E1024 on model X device" and located Chapter 15 of the latest maintenance manual within 3 seconds.

Scenario 3: Cross-departmental collaboration model

The "Marketing Copy Generator" deployed by the Marketing Department is directly called by the Technical Department through a sharing link, avoiding duplicate deployment and saving 50% of server resources.

5. Comparison with similar tools

Functional Dimension
AingDesk
Ollama
Cherry Studio
Deployment Difficulty
⭐⭐⭐⭐⭐(One-click installation)
⭐⭐(command line required)
⭐⭐⭐(Cloud dependency)
Number of models
100+
80+
30+
Online search
Support three major engines
Not supported
Only supports Google
Knowledge base management
Local semantic search
none
Basic keyword matching
Hardware requirements
Automatically adapt the configuration
Manually adjust parameters
Fixed cloud server specifications

Three-step quick tutorial

Normal method

  1. To install the client,
    visit the official website to download the corresponding system installation package, and click "Next" until completed (about 2 minutes).

  2. Deploy the first model
    Open the software → Select "DeepSeek-7B" → Click "Install" → Make a cup of coffee and wait for automatic completion (the network speed determines the duration).

  3. Turn on Smart Q&A
    and enter "Write a poem about AI in the style of Li Bai" in the chat box, then check "Baidu Search" to obtain the latest literary research data to assist in your creation.

The Docker way

Docker Compose: Copy the following command and use Docker Compose to deploy the image

mkdir -p aingdesk
cd  aingdesk
wget https://cnb.cool/aingdesk/AingDesk/-/git/raw/server/docker-compose.yml
# For new versions of Docker, please run the following command
docker-compose up -d
# For older versions of Docker, run the following command
docker-compose up -d

Docker Run: Copy the following command and map the specified port to deploy the image.

docker run -d \
  --name node \
  -v $( pwd )/data:/data \
  -v $( pwd )/uploads:/uploads \
  -v $( pwd )/logs:/logs \
  -v $( pwd )/bin:/aingdesk/bin \
  -v $( pwd )/sys_data:/sys_data \
  -p 7071:7071 \
  -w /aingdesk \
  aingdesk/aingdesk

Domestic users can use Tencent Cloud Native to build images for deployment.

docker run -d \
  --name node \
  -v $( pwd )/data:/data \
  -v $( pwd )/uploads:/uploads \
  -v $( pwd )/logs:/logs \
  -v $( pwd )/bin:/aingdesk/bin \
  -v $( pwd )/sys_data:/sys_data \
  -p 7071:7071 \
  -w /aingdesk \
  docker.cnb.cool/aingdesk/aingdesk

Similar projects recommended

  1. Ollama
    An open-source model management framework that is suitable for developers to deeply customize, but requires a strong technical background.

  2. Cherry Studio
    Focuses on cloud AI collaboration and is suitable for quick construction by small and medium-sized teams, but there are concerns about data privacy.

  3. Although AnyDesk
    Mainly positioned as a remote control tool, its file transfer and low latency features can assist in AI deployment.