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Save agent context without hiding failures: a look at lowfat

An AI coding workflow can spend surprising context on terminal noise: progress output, repeated scaffolding, status text, wide tables, and formatting control sequences. Some of that is useful sometimes. Much of it is not the signal an agent needs for its next decision.

lowfat is an open-source CLI that places a filter between command output and an AI agent. Its public documentation describes a runner that executes the real command, resolves a configured pipeline, and returns filtered output. Built-ins include grep, head, ANSI stripping, blank-line deduplication, and normalization.[^1]

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