KITE Claims SOTA on LoCoMo and LongMemEval With No Vectors and ~1.6K Tokens of Reader Context

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memoket/memoket-kite, created 2026-08-12 and pushed again on 2026-08-18, is an Apache-2.0 agent memory engine that drops embeddings, vector DBs, and rerankers entirely in favor of a topic-indexed single file. Its README reports 93.51% on LoCoMo and 85.60% on LongMemEval-S using gpt-4.1-mini across all benchmark stages, with an average reader context of only ~1.6K tokens per question. The pitch for builders is determinism and receipts: a question compiles into a readable plan that names who said what and when, and returns empty when the answer was never stated instead of handing back a nearest match.