Benchmarking AI Agent Memory: Is a Filesystem All You Need?

Letta's analysis of memory tool benchmarks including LoCoMo (Long-Context Memory Optimization), examining whether simple file-based storage is sufficient for agent memory or if specialized memory architectures provide significant advantages. The study compares retrieval accuracy, latency, and context coherence across different approaches.

Why it matters: This research helps developers make informed decisions about memory architecture tradeoffs when building production AI agents.

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