Agent Memory

Storage and retrieval of LLM reasoning traces at scale. MLSys 2027 submission.

Agent Memory: Storage and Retrieval of LLM Reasoning Traces at Scale

Summer 2026 – Present

Advisor: Dr. Ali Anwar (University of Minnesota)

Analyzed 535 queries across seven models, finding reasoning traces from under 1 KB to over 71 KB per query. The project develops co-location and indexing strategies for highly variable semantic reasoning workloads.

Impact: Submission at MLSys 2027.

(Khan & others, 2027)

References

2027

  1. Agent Memory: Storage and Retrieval of LLM Reasoning Traces at Scale
    Saman Bahzad Khan and others
    In Conference on Machine Learning and Systems (MLSys), 2027
    Under Submission