a project by rsimai
Description
Users sometimes wonder what files or directories they find on their local PC are good for. If they can't determine from the filename or metadata, there should an easy way to quickly analyze the content and at least guess the meaning. An LLM could help with that, through the use of a filesystem MCP and to-text-converters for typical file types. Ideally this is integrated into the desktop environment but works as well from a console. All data is processed locally or "on premise", no artifacts remain or leave the system.
Goals
- The user can run a command from the console, to check on a file or directory
- The filemanager contains the "analyze" feature within the context menu
- The local LLM could serve for other use cases where privacy matters
TBD
- Find or write capable one-shot and interactive MCP client
- Find or write simple+secure file access MCP server
- Create local LLM service with appropriate footprint, containerized
- Shell command with options
- KDE integration (Dolphin)
- Package
- Document
Resources
This project is part of:
Hack Week 25
Activity
Comments
-
13 days ago by rsimai | Reply
I got slightly distracted and thought about not analyzing files but screenshots so if I find something visually, I can ask the AI in a safe manner what it is. So I've experimented with vision models in ollama and this came out: https://github.com/rsimai/screen-ai. I should focus on files now ...
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benchmark
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