Unverified50% confidenceSolutionExact time
Because the agent itself evaluates whether a memory is useful, Slowave no longer needs a separate LLM judge to maintain memories, thereby avoiding token waste and the split-brain problem.
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50%
Confidence
Long-term
Relevance
9/16/2026
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Related Claims
UnverifiedSlowave's decay mechanism may carry the risk of accidentally deleting memories that are truly important but temporarily unused, and the accuracy of the agent's self-evaluation of memory usefulness also needs to be verified through real-world testing.77% similarUnverifiedThe project has a built-in experimental VRAM offloading mechanism (demonstrated in workflow 06) that can significantly reduce memory usage, but memory spikes still occur during the process.70% similarUnverifiedSlowave's memory cycle is: remember → recall → use → feedback → reinforce/weaken → decay.68% similarVerifiedMainstream strategies for addressing short-term memory limitations include sliding window truncation, summary compression, and importance-based selective retention, with each strategy striking a different balance between information completeness and token consumption.66% similarUnverified多头自注意力机制突破了RNN/LSTM在长序列处理中因梯度消失导致的遗忘瓶颈，并支持GPU/TPU大规模并行计算65% similar
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