Cog
Cog provides a centralized, plain-text memory system for AI agents, allowing them to share context and knowledge across different tools and projects.
Cog is a plain-text memory system designed to address the siloed nature of AI agent memory. It uses structured markdown files with L0 headers for progressive context loading and three tiers (hot, warm, glacier) for memory management. This system enables AI agents to read, search, and maintain a single source of truth for preferences, project context, and long-term goals across various AI tools without a server, database, or application code. An optional pipeline can automate maintenance tasks like archiving and consolidating data.
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