I’m working on a native swift implementation of FileKitty, the FOSS LLM prompt context preparation tool I’ve been building with pyqt.
https://github.com/banagale/FileKitty
My most recent release includes signed .dmg installer on top of brew, and a local build option.
Although it should compile to any platform, I want to take advantage of the new Foundation Model sdk Apple announced at WWDC.
I also recently released something called slackprep, a CLI tool and Python library that wraps slackdump, converting Slack export data into LLM-groomed Markdown transcripts.
That includes labeling inline images organizing them for upload as LLM context.
https://github.com/banagale/slackprep
I see these and other utilities coming together to assist in assembly of deep context for system level design.