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marciopugaPlain-text cognitive system for AI memory and foresight
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<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> Cog offers a plain-text cognitive architecture for Claude Code, enabling persistent memory, self-reflection, and foresight. It simplifies AI agent memory management by using observable conventions and the filesystem, allowing models to reason over their knowledge with standard Unix tools and enhancing cross-session context.
How It Works
Cog is a set of plain-text conventions (CLAUDE.md, .claude/commands/*.md) leveraging the filesystem as the interface, eliminating servers or application code. Claude Code interacts with memory using Unix utilities (grep, find, git diff), ensuring observability and maintainability. It features a three-tier memory (hot, warm, glacier) and progressive condensation, transforming raw observations into actionable insights and archives transparently.
Quick Start & Requirements
git clone https://github.com/marciopuga/cog./setup for conversational configuration..claude/settings.json or prompted individually.Highlighted Details
hot-memory.md (current), domain-specific warm directories, glacier/ (archived).[[domain/filename]])./housekeeping, /reflect, etc.) automate memory maintenance and insights, optionally schedulable.Maintenance & Community
The README does not detail specific contributors, sponsorships, or community channels.
Licensing & Compatibility
Limitations & Caveats
Cog is strictly dependent on the Claude Code environment for execution. It is presented as an experimental system, and its effectiveness relies heavily on the underlying Claude model's ability to interpret and execute the defined conventions and skills.
2 weeks ago
Inactive