Add ctxfold to LLM compression tools list - #74
Open
antrixy wants to merge 1 commit into
Open
Conversation
Adds **ctxfold** to the Tools section, alongside PackRat and SigmaScale. ctxfold is a lossless, structure-aware prompt-token reducer for logs, JSON, and CSV. It folds repeated keys, prefixes, and templates into a one-time header the model reads directly, with a round-trip self-check so it's lossless or a no-op — it never drops data. Zero runtime dependencies, MIT, published from CI with build provenance. - npm: https://www.npmjs.com/package/ctxfold - repo: https://github.com/antrixy/ctxfold Formatted to match the existing `[[Code]] [[npm]]` tool entries. No paper — it's a tool, not a publication.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds ctxfold to the Tools section, alongside PackRat and SigmaScale.
ctxfold is a lossless, structure-aware prompt-token reducer for logs, JSON, and CSV. It folds repeated keys, prefixes, and templates into a one-time header the model reads directly, with a round-trip self-check so it's lossless or a no-op — it never drops data. Zero runtime dependencies, MIT, published from CI with build provenance.
Formatted to match the existing
[[Code]] [[npm]]tool entries. No paper — it's a tool, not a publication.