AI SummaryProcedural memory for AI coding agents. Transforms scattered sessions into persistent, cross-agent memory. Uses a three-layer cognitive architecture that mirrors human expertise development. AI coding agents accumulate valuable knowledge but it's: You've solved auth bugs three times this month acros
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to install the "cm" skill in my project. Please run this command in my terminal: # Install skill into your project mkdir -p .claude/skills/cass_memory_system && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/cass_memory_system/SKILL.md "https://raw.githubusercontent.com/Dicklesworthstone/cass_memory_system/main/SKILL.md" Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.
Description
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
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. │ └───────────────────────────┬─────────────────────────────────────────┘ │ reflect + curate (automated) ▼ ┌─────────────────────────────────────────────────────────────────────┐ │ PROCEDURAL MEMORY (Playbook) │ │ Distilled rules with confidence tracking and decay │ └─────────────────────────────────────────────────────────────────────┘ ` Every agent's sessions feed the shared memory. A pattern discovered in Cursor automatically helps Claude Code on the next session. ---
The One Command You Need
`bash cm context "<your task>" --json ` Run this before starting any non-trivial task. Returns: • relevantBullets - Rules from playbook scored by task relevance • antiPatterns - Things that have caused problems • historySnippets - Past sessions (yours and other agents') • suggestedCassQueries - Deeper investigation searches
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