🔥Ramp Labs Launches Multi-Agent Memory Sharing Solution Latent Briefing, Reducing Token Consumption by Up to 65%

On April 11, AI infrastructure company Ramp Labs released their research achievement "Latent Briefing," which achieves efficient memory sharing among multi-agent systems by directly compressing large model KV caches, significantly reducing token consumption without sacrificing accuracy. In mainstream multi-agent architectures, the orchestrator disassembles tasks and repeatedly calls the worker models, and as the reasoning chain extends, token usage grows exponentially. The core idea of Latent Briefing is: leveraging attention mechanisms to identify…