Hello, I have recently noticed a quick rising project that apparently saves around 90% of context window by using some technical mastery (I dont understand).
I heard some IDEs do not need this as they do similar optimizations by default, but on the project’s github page it says it is useful for Cursor.
Is this something Cursor could integrate internally?
By the way, I am not affiliated with this tool or project, just looks interesting?
Hi! This looks like a really interesting approach. Virtualizing tool outputs and only passing summaries or retrieved snippets to the model seems especially useful for large outputs like logs, API responses, or browser snapshots.
From what I understand, Cursor already applies context optimizations (file chunking, semantic retrieval, truncation of large outputs), but this seems different since tool outputs become a searchable external memory rather than being injected into the prompt.
Do you think something like this could eventually be integrated directly into IDE agents like Cursor? And are there cases where this approach significantly outperforms the current retrieval/context-management strategies?
It feels a bit like applying a RAG layer specifically to tool outputs instead of the codebase itself.
