hooks

A coding agent uses the wrong flag. You explain the correction, and the command works. The useful question is what happens when another session makes the same mistake.

This walkthrough follows one harmless error from failure to saved correction to actual execution. It uses the Harbour project brief from the memory walkthrough, a released Terraphim agent, and an OpenCode adapter included in the download.

AI coding agents make the same mistakes over and over. We built a learning system that captures failures, stores corrections, and feeds them back into future sessions — turning every error into institutional memory.

Builds on Why Graph Embeddings Matter — the deterministic engine that makes "remember this correction forever" cheap. Apply the pattern in your own project via the Command Rewriting How-to.

How we use Aho-Corasick automata and knowledge graphs to automatically enforce coding standards across AI coding agents like Claude Code, Cursor, and Aider.

New: see Why Graph Embeddings Matter for the underlying engine that makes these hooks possible — sub-millisecond, deterministic, fully explainable.