AI/ML●●●Banger
I built an agent memory system for myself and got 90.8% on LongMemEval
Bitemporal knowledge graph beats vector dumps with 90.8% LongMemEval accuracy.
Big BrainWizardry
inshane
302mo ago
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Memory system for AI agents. #1 on LongMemEval — 96.2% (481/500). Beats every published system including Chronos, Mastra, Supermemory, and Emergence. Built solo in 16 days for $1,000.
37 starsPython
96.2% on LongMemEval – world record, built solo in 16 days for $1k
by JordanMcCann·Mar 26, 2026·1 point·0 comments
AI Analysis
●●●BangerWizardryBig BrainDark Horse
World record on LongMemEval beats PwC Chronos, built solo in 16 days.
Strengths
- •96.20% (481/500) in single deterministic run with no oracle access or ensemble voting.
- •LEGITIMACY.md documents benchmark methodology and judge configuration transparently.
- •Built for $1k on mid-range gaming PC — beats funded teams with published papers.
Weaknesses
- •Memory systems for AI agents is crowded: Chronos, Mastra, Zep, Supermemory all exist.
- •README light on architectural details — unclear what makes retrieval actually better.
Category
Target Audience
AI engineers building agent memory and retrieval systems
Similar To
Chronos · Mastra · Supermemory
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