EverMind
@evermind
Long-term agent memory | self-improving | agent harness
加入 November 2025
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From 8,594 tokens to 1,946 per answer.
EverOS selects the memories a question actually needs instead of injecting a fixed 20 every time.
In our LongMemEval-S test, that meant 77% fewer answer-stage input tokens, with 91% accuracy versus 93.4%.
Less context to process. Relevant evidence to work with.
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