A conversation with Sam Nickless, Partner and Chief Executive Officer at Gilbert + Tobin.

Picture a Monday. Your AI coding agent fixes a payment bug and learns three things the hard way. On Tuesday, a new session starts for a similar bug. The agent has no idea about Monday. It reads an old runbook and makes the same mistake again. A bigger context window does not fix this. The […] The post Can an AI Agent Inherit Its Team’s Hard-Won Lessons? A Hands-On Look at TencentDB Agent Memory appeared first on Analytics Vidhya .

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arXiv:2611.13127v1 Announce Type: new Abstract: Retrieval-augmented language model systems generally select context by query-conditioned relevance. We argue that long-lived AI systems require a second operator: activation-conditioned memory availability. We specify an architecture in which request and goal cues seed an authorized memory graph, activation and fan attenuation allocate a bounded traversal frontier, retrieved entities recursively emit cues, and a typed evidence graph is…