EverMind-AI/EverMemOS: 4B parameter model with 100M token memory.

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s1brq3/wmb100k_open_source_benchmark_for_ai_memory/"> <img alt="WMB-100K – open source benchmark for AI

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1svasld/memory_systems_with_vector_objects_as/"> <img alt="Memory systems with vector objects as

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model

arXiv:2604.21284v1 Announce Type: new Abstract: MemPalace is an open-source AI memory system that applies the ancient method of loci (memory palace) spatial metaphor to organize

<!-- SC_OFF --><div class="md"><p>Third revision of this. Hit me up with your thoughts. </p> <p><a

<!-- SC_OFF --><div class="md"><p>Every output token the model generates requires reading the entire KV cache from High Bandwidth Memory.</p> <p>Here's what that actually looks

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1uqueil/minimax_plans_to_release_a_27trillion_parameter/"> <img alt="Minimax plans to release a

<!-- SC_OFF --><div class="md"><p>Hi. We recently had MoE models as big as 1T and 1.6T total parameters. My expectation on the proportion between total and active parameters so