Cog
Cog is a plain-text cognitive architecture that provides a centralized memory system for AI agents.
Cog is an open-source, plain-text cognitive architecture designed to provide a centralized memory system for AI agents. It utilizes structured markdown files with three tiers of memory (hot, warm, glacier), L0 headers for progressive context loading, and wiki-link cross-references. This enables agents to share preferences, project context, and long-term goals across various AI tools like Claude Code, Gemini CLI, and Copilot, operating without a server or database and relying on conventions for memory management.
Cog appears to be a small personal project (1 employee, 366 GitHub stars) with limited market impact and no clear evidence of significant adoption or industry relevance in 2025-2026. While it provides interesting functionality as a Claude Code extension, its niche position and lack of substantial user base or funding indicate poor market performance.
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Visit the official Cog website