cmlisted

# CM - CASS Memory System Procedural memory for AI coding agents. Transforms scattered sessions into persistent, cross-agent memory. Uses a three-layer cognitive architecture that mirrors human expertise development. ## Why This Exists AI coding agents accumulate valuable knowledge but it's: - **Trapped in sessions** - Context lost when session ends - **Agent-specific** - Claude doesn't know what Cursor learned - **Unstructured** - Raw logs aren't actionable guidance - **Subject to collapse** - Naive summarization loses critical details You've solved auth bugs three times this month across different agents. Each time you started from scratch. CM solves this with cross-agent learning: a pattern discovered in Cursor is immediately available to Claude Code. --- ## Three-Layer Cognitive Architecture ``` ┌─────────────────────────────────────────────────────────────────────┐ │ EPISODIC MEMORY (cass) │ │ Raw session logs from all agents — the "ground truth" │ │ Claude Code │ Codex │ Cursor │ Aider │ PI │ Gemini │ ChatGPT │ ...│ └───────────────────────────┬─────────────────────────────────────────┘ │ cass search ▼ ┌─────────────────────────────────────────────────────────────────────┐ │ WORKING MEMORY (Diary) │ │ Structured session summaries: accomplishments, decisions, etc. │ └───────────────────────────┬────