terraphim-agent CLI
Search-first AI agent with knowledge-graph context, session memory, and failure capture
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Tag
learning
Hooks System
Pre and post tool-use hooks for AI coding assistants — capture failures, inject knowledge, automate learning
Read MoreTeaching AI Agents to Learn from Their Mistakes
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.
Learning via Negativa: How Terraphim Remembers What You Keep Getting Wrong
You know what is embarrassing? Making the same mistake for the tenth time. Last week, I typed docker-compose up instead of docker compose up. The command failed. I sighed. I corrected it. Three days later? Same thing. Same sigh. Same correction.
Builds on Why Graph Embeddings Matter — the deterministic engine that lets Terraphim store and replay corrections in microseconds. Apply the pattern in your own project via the Command Rewriting How-to.
Native Hook Support: terraphim-agent Now Learns from Your Mistakes
We are announcing native hook support for terraphim-agent v1.8.1. This feature captures failed commands from AI agents (Claude Code, Codex, OpenCode) and learns from them, creating a personal knowledge base of mistakes and corrections. No more jq dependency, no more bash wrappers: just terraphim-agent learn hook.