Looking for blunt feedback on my cross-agent chat recorder, Kato.

I kept running into the same problem: I’d do real work inside AI chats, but couldn't manage them as artifacts. I'd end up copy-pasting entire conversations into markdown files in my repos, with broken formatting, and having to figure out where my last copy&paste left off. Not to mention no easy cross-provider search or consistency

So I built Kato. (Named for the Green Hornet's sidekick.)

This is the first polished open-source app I’ve put out, and I’m looking for sharp feedback from people who actually work with AI agents regularly.

What Kato does today:

• captures supported chats from IDE/CLI/local app workflows
• writes clean, vendor-agnostic Markdown
• keeps your history portable across tools
• gives you a web UI or in-chat "::capture" commands to control recording
• helps with handoffs between people, tools, and future agent sessions

What I’m trying to learn in beta:

• does this actually improve human and agent productivity as much as I think it does?
• where is setup/install friction?
• which workflows or tools should I support next?
• what feels overbuilt, missing, or wrong?

If you’re up for trying it, I’d really value blunt feedback. Especially from people who bounce between multiple assistants and might be interested in keeping your chats in your repo along with your code.