Cog is a cognitive architecture for Claude Code. Persistent memory, self-reflection, foresight, and scenario simulation — the first layer of continuous awareness for AI agents.

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Cog is an experimental cognitive architecture layer for Claude Code that adds persistent memory across sessions. Instead of starting fresh each conversation, it uses plain text files and markdown-defined rules to store and organize knowledge. A nightly pipeline consolidates conversations, extracts patterns, prunes stale data, and rewrites rules — analogous to REM sleep. Memory is organized in a three-tier system (hot/warm/glacier) with domain-based indexing. The project is designed as a learning tool to observe how AI models organize knowledge and whether self-reflection improves behavior over time.

Cog — Cognitive Architecture for Claude Code