nac7/tooltrim

Drop-in compression for LLM agent tool outputs: cut ~99% of tool-result tokens while keeping (often improving) answer accuracy. Provider-agnostic, with a faithfulness benchmark and an OpenAI-compatible proxy.

Open on GitHub

2Stars on the repository

1Mods indexed here, across every type

21d agoLast push, which is what freshness is scored on

MITLicence, which decides whether bodies are shown

Sort Relevance Recently updated Fewest tokens Security grade Repo stars Stars this week Top rated 1 mods

tooltrim

nac7/tooltrim

MCP server Claude CodeCodexCursor

Drop-in compression for LLM agent tool outputs. Shrink bloated HTML/JSON/log results before they re-enter context — cut tokens, stay on-task, keep full output retrievable. Runs locally from the tooltrim Python package.

2 21d ago A tokens not measured original MIT