CompanyAnthropic2 recent entries12 May 2026Nautilus Compass: Black-box Persona Drift Detection for Production LLM AgentsarXiv:2605.09863v1 Announce Type: cross Abstract: Production LLM coding agents drift over long sessions: they forget user-specified constraints, slip into mistakes the user already flagged, and confab→7 Jul 2026When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal AgentsarXiv:2607.05189v1 Announce Type: cross Abstract: Persistent personal agents combine long-term memory with access to users' external environments, enabling personalized foreground assistance and proac
CompanyGoogle2 recent entries19 May 2026SocialMemBench: Are AI Memory Systems Ready for Social Group Settings?arXiv:2605.17789v1 Announce Type: cross Abstract: Memory systems for AI assistants were built for single-user dialogue and fail characteristically when applied to multi-party social group settings. Th→30 Jun 2026MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory EvaluationarXiv:2606.29914v1 Announce Type: new Abstract: Agent memory systems are increasingly evaluated against RAG and full-context baselines, but reported gains often mix changes in the memory method with c
CompanyMeta1 recent entries10 Sept 2026Kernel-Managed Shared Memory for System-Wide PersonalizationarXiv:2609.10144v1 Announce Type: cross Abstract: AI systems become more useful when they can adapt to the people using them, but in multi-agent systems, useful context learned by one agent often rema
CompanyDeepSeek2 recent entries2 Sept 2026ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived DialoguesarXiv:2609.01111v1 Announce Type: new Abstract: Clinical LLM assistants must reason over multi-visit patient trajectories, yet whether the compact history representations used to scale them---retrieva→7 Oct 2026ServeLearnBench: How Well Can Agents Self-Improve from Serving Experience?arXiv:2610.07792v1 Announce Type: cross Abstract: Large language model agents are increasingly deployed to perform complex tasks in real-world environments. However, the knowledge required for correct