AI RESEARCH
StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding
arXiv CS.CV
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ArXi:2604.09000v1 Announce Type: new Vision agent memory has shown remarkable effectiveness in streaming video understanding. However, storing such memory for videos incurs substantial memory overhead, leading to high costs in both storage and computation. To address this issue, we propose StreamMeCo, an efficient Stream Agent Memory Compression framework. Specifically, based on the connectivity of the memory graph, StreamMeCo