LatentPress: Continuous Memory Tokens for Context Compression
August 31, 2026
LatentPress compresses conversational histories into continuous memory tokens that a frozen decoder reads directly via input embeddings. It achieves 7.7x compression with 0.504 accuracy on LongMemEval, outperforming text summaries and OCR-based methods.
HOW THIS AFFECTS YOU
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builderYou can reduce context window costs and latency by using compressed latent tokens instead of text or images.
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researcherThis demonstrates that continuous memory tokens can preserve more information than discrete text summaries.