Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
MemAgentmemagent-sialab.github.io · Low evidenceMemAgent is a long context processing framework that uses reinforcement learning to enable LLMs to handle arbitrarily long inputs through a dynamic memory mechanism. It achieves linear complexity and strong extrapolation, maintaining over 95% accuracy on 512K-length tasks while extending from 8K training to 3.5M contexts.
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