Anjir Ahmed Chowdhury

LAM: Efficient Lossy Agent Memory Framework With A Retrieval-Score Error Bound

Agent memory grows as agents read inputs, reason, and call tools. Longer histories increase inference cost and eventually exceed the context window. LLM-based summarization reduces this history but adds latency and provides no explicit bound on information loss. We propose LAM, a Lossy Agent Memory system with three co...