welink is a local AI app for WeChat chat data analysis. It helps you view chat trends, find active friends, explore group chat patterns, and build word clouds from your chat history.
It runs on your own computer. You keep your data local while the app helps you read it in a clear way.
- See friend activity rankings
- View group chat profiles
- Generate word clouds from chat text
- Track emotion trends over time
- Ask AI to analyze chat content
- Work with local chat data on Windows, MacOS, or Docker
Use a Windows PC with enough free space for your chat data and app files.
For a smooth run, keep these in mind:
- Windows 10 or later
- At least 8 GB of RAM
- Enough disk space for chat exports and analysis results
- A stable local folder where you can store WeChat data files
If your chat history is large, the first scan can take some time.
Visit this page to download welink:
Open the releases page, then choose the Windows file that fits your computer. In most cases, you should pick the .exe or .zip file made for Windows.
Open the releases page and download the latest Windows version.
If the file comes as .zip, right-click it and choose Extract All.
Put the folder in a place that is easy to find, such as:
- Desktop
- Downloads
- Documents
If you downloaded an .exe file, double-click it to start welink.
If you extracted a .zip file, open the folder and double-click the app file inside.
Windows may show a security prompt. If you trust the file from the release page, choose to run it.
Use the app to point to your WeChat chat export or local data folder. Once the files load, welink can begin analysis.
Choose the folder or file that holds your WeChat chat records.
Let the app scan the data and build its report.
You can review:
- Chat frequency
- Friend ranking
- Group chat profile
- Word cloud
- Emotion trend chart
Use the local AI agent to ask about chat patterns, active people, common topics, or mood changes.
See which contacts chat the most.
Understand how each group behaves, who talks most, and what topics appear often.
Spot common words and repeated topics in your chat history.
Check how chat tone changes over time.
Use model-based analysis to turn raw chat data into clear answers.
- Keep your chat files in one folder
- Use a short file path, like
C:\welink-data - Close other large apps while the first analysis runs
- Make sure your files are not open in another app
If the app does not find your data, check the folder path first.
welink also supports Docker for users who want a container setup.
This is useful if you already use Docker for local apps or want a clean run without changing your main system setup.
welink can also run on MacOS.
The same idea applies:
- Download the correct release file
- Open the app
- Load your local chat data
- Review the analysis results
welink is designed for local analysis. Your chat data stays on your device while the app works with it.
That makes it useful for personal review, work use, or local research without sending data to a remote service.
Try these steps:
- Download the latest release again
- Make sure the file finished downloading
- Unpack the archive if you downloaded a
.zip - Run the file from a normal folder like Desktop or Downloads
Check:
- The folder path is correct
- The data export is complete
- The chat files are not damaged
- You have selected the right source folder
Large chat sets can take time to load. Try:
- Closing extra apps
- Using a folder with fewer files first
- Waiting for the first scan to finish
A clean folder setup helps the app work better.
Example:
C:\welink\appC:\welink\dataC:\welink\exports
Keep app files and chat data separate if you can.
welink fits users who want to:
- Read chat history in a simple view
- Find key contacts
- Study group talk patterns
- Track mood shifts
- Use local AI with chat data
- Keep work on their own computer
- chat-analysis
- chat-history
- chat-mcp
- llm
- macos
- mcp-server
- weixin