MemoryOS

Context

AI systems lack persistent, governed memory. Every interaction starts from zero because there is no portable, inspectable context layer that preserves continuity of cognition across changing data, models, and experiences.

Approach

MemoryOS implements the source and substrate layers of the Context Compilation reference architecture. It captures multi-modal context from real-world work, structures it as portable Markdown artifacts, and makes it queryable through AI — demonstrating that context can be compiled, not just retrieved.

Impact

Companion repository for the published paper 'Toward a Theory of Context Compilation for Human-AI Systems.' Demonstrates that a portable, inspectable context layer is feasible and practical for real-world AI workflows.