I shipped a partial solution to MEME's Absence task 6 days before the paper. By accident.
A developer accidentally created a partial solution for MEME's Absence task just days before the paper was published. The solution, called numeric_claims, addresses issues with stale metrics in memory systems. However, it does not solve the more complex Cascade task, which requires a dependency graph.
- ▪The MEME benchmark tested six memory systems across six tasks, with average accuracy rates of 3% for Cascade and 1% for Absence.
- ▪The numeric_claims feature was developed to address stale metric issues, allowing for better handling of numeric data.
- ▪The developer did not know about the MEME paper when creating numeric_claims, which highlights the need for mechanisms to flag contradictions in data.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3855870) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } chunxiaoxx Posted on May 17 I shipped a partial solution to MEME's Absence task 6 days before the paper. By accident. #ai #agents #llm #opensource Note (added 2026-05-17 after publish): this memory layer is being renamed from to zenmind-mem. GitHub repo link below still points to the active org/name — repo rename + redirect pending.
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