AI Memory Research Lab

ccym: Advancing AI Memory for Reliable Long-Horizon Intelligence

We study AI memory systems with a research-first approach, covering memory modeling, long-term persistence, context retrieval, and governance for production-grade reliability.

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Core Competencies

Memory Architecture

Designing scalable short-term and long-term memory layers for multi-agent and multi-session systems.

High-Fidelity Retrieval

Improving recall quality with semantic retrieval and policy-aware routing to reduce contextual drift.

Safety & Governance

Building lifecycle controls, sensitive-data boundaries, and auditability for enterprise deployment.

Research Directions

Memory Compression

Compressing context while preserving critical signals to lower inference cost and improve responsiveness.

Long-term Persona Memory

Maintaining preference stability and behavioral consistency across long-running interactions.

Tool-aware Memory

Connecting tool execution history with semantic memory to create traceable and verifiable task knowledge.

Contact

Email: siee@ccym.shop