arXiv AI By Tanqiu Jiang, Min Bai, Sadat Shahriar, Wanyu Du, Sandesh Swamy

PerMIT: Securing Persistent Memory for LLM Agents via Machine-Checked Integrity Theorems and Scalable Community Trust

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PerMIT is a memory architecture that provides provable integrity guarantees for persistent memory used by large language model agents. It limits trust to user‑typed inputs and values confirmed at a gate, mediating untrusted environment‑derived values through a finite interface while preserving multi‑turn planning and tool choice. Two machine‑checked integrity theorems in Lean 4 ensure that only gate‑confirmed data can influence sensitive actions, and community endorsements can accumulate to reduce verification effort as the user base grows.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Jul 7

When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents

arXiv:2607. 05189v1 Announce Type: cross Abstract: Persistent personal agents combine long-term memory with access to users' external environments, enabling personalized foreground assistance and proactive background execution.

By Yechao Zhang, Shiqian Zhao, Jiawen Zhang, Jie Zhang, Gelei Deng, Xiaogeng Liu, Chaowei Xiao, Tianwei Zhang