⬢github · 670 ★ +36 since we first saw it · pushed 2 d ago
wangmingxuan666/Tiersense
TierSense is a research project with three modules that help AI systems understand task difficulty and manage memory: TierSense-Score rates how hard a current task is, and companion modules decide which historical steps can be compressed or recalled. The modules can be used independently or combined, and are backed by two arXiv papers on memory control and state compression.
Why now: It's trending because the authors posted a prominent statement asserting their work was completed before the related 'Jev' project appeared, defending it against claims it's a rushed, AI-generated follow-up — a controversy about originality and auto-generated research.
Who it is for: Researchers and engineers building LLM agents or memory systems who need difficulty scoring and context compression/recall mechanisms.
Stars over our 46 snapshots: 634 to 670, since 11 h ago.
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