5 pointsby jzapletal2 hours ago2 comments
  • jzapletal2 hours ago
    We built an open-source tool that screenshots your desktop and feeds summaries to Claude/Cursor via MCP.

    What surprised us:

    - Cost: $0.0002/screenshot (we budgeted 100x more), guess cloud vision APIs got cheap fast

    - CPU: 5% (exp. 50%) and laptop stays cool

    - Quality: night and day vs local models, we tried running vision locally first and it was mediocre

    It works by triggering a screenshot on activity, sending it to a cloud vision model for summarization, then deleting the screenshot and storing only the text in local SQLite. You query it via MCP – "what was I working on before lunch?" and Claude actually knows.

    • BloondAndDoom2 hours ago
      This is great stuff, have you tried with local models? Summarization etc. is easy but I haven’t played with image to text models locally? Any ideas. I can run 32b models fine and for summarization kind of tasks they are extremely good I’d even say more than necessary
  • fidorka2 hours ago
    Nice, could I provide this memory to openclaw as well?