openJiuwen has launched OmniMem-Lens, a new multimodal memory capability for AgentMemory, according to Techub News, which cited QbitAI. The feature is designed to address two issues that arise when agents process long-form video: fragmented memory and low retrieval efficiency.
OmniMem-Lens links visual and audio streams, segments video based on real event boundaries, and builds a three-layer memory structure. In some evaluations, the system delivered up to a 45.7% improvement in memory recall accuracy and reduced online question-answering latency by as much as 97%.
The capability is now available in openJiuwen AgentMemory version 0.2.0. openJiuwen also said WorkSwarm will soon support integration with the feature. The announcement focuses on product availability and performance figures disclosed in the evaluation results.
openJiuwen has officially launched OmniMem-Lens, a multimodal memory capability for AgentMemory, Techub News reported, citing QbitAI.
The feature is aimed at fixing fragmented memory and low retrieval efficiency when agents handle long-form video. It links visual and audio streams, splits video along real event boundaries, and builds a three-layer memory structure.
In some evaluations, OmniMem-Lens improved memory recall accuracy by as much as 45.7% and cut online question-answering latency by up to 97%.
The capability is now live in openJiuwen AgentMemory version 0.2.0. WorkSwarm will also support integration with the feature soon.
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