[giancarlostoro]

This sounds a little bit like rkt? Which trims output from other CLI applications like git, find and the most common tools used by Claude. This looks like it goes a little further which is interesting.

I see some of these AI companies adopting some of these ideas sooner or later. Trim the tokens locally to save on token usage.

https://github.com/rtk-ai/rtk

[mksglu]

Haven't looked at rtk closely but from the description it sounds like it works at the CLI output level, trimming stdout before it reaches the model. Context-mode goes a bit further since it also indexes the full output into a searchable FTS5 database, so the model can query specific parts later instead of just losing them. It's less about trimming and more about replacing a raw dump with a summary plus on-demand retrieval.

[giancarlostoro]

Yeah I like this approach too. I made a tool similar to Beads and after learning about RTK I updated mine to produce less token hungry output. I'm still working on it.

https://github.com/Giancarlos/guardrails

[esperent]

Does context mode only work with MCPs? Or does it work with bash/git/npm commands as well?

[RyanShook]

I’m also trying to see which one makes more sense. Discussion about rtk started today: https://news.ycombinator.com/item?id=47189599