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Memory Worth: Agent Memory Governance
💡89% correlation metric for agent memory quality—lightweight upgrade for better governance.
⚡ 30-Second TL;DR
What Changed
Introduces MW: two counters tracking success/failure co-occurrences per memory.
Why It Matters
Provides a principled, feedback-driven way to manage agent memories amid task shifts, potentially improving long-term reliability. Low-cost integration could become standard in LLM agent architectures.
What To Do Next
Implement MW counters in your agent's retrieval logger and suppress memories below MW=0.2 threshold.
Who should care:Researchers & Academics
Key Points
- •Introduces MW: two counters tracking success/failure co-occurrences per memory.
- •Proves almost-sure convergence to p+(m) = Pr[success | memory retrieved] under exploration.
- •Achieves rho=0.89 correlation with ground-truth utilities after 10k episodes.
- •Validated with neural embeddings (all-MiniLM-L6-v2) in retrieval experiments.
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Original source: ArXiv AI ↗