SOURCE-LINKED INTELLIGENCE
Collaborative Memory for Multi-Agent VLM Systems
Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspect different image regions, video frames, or visual representations, so collaboration extends beyond distributed reasoning to distributed perception. This makes shared visual context a central problem in VLM agent collaboration. In this paper, we frame memory hierarchy, cross-agent sharing, and consistency mechanisms around the need to reconcile interpretations and update dependent reasoning. Effective collaboration requires age
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T23:31:09.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.