MACE: Memory-Agent Co-Evolution with Adaptive Memory Graphs for Multi-Agent Systems
Memory-graph approach to reusing multi-agent collaboration traces.
3 items · 2 sources · 3 days
Operational story trace
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A Sep 30 paper examines safety of latent communication, where agents exchange internal representations instead of text to cut token and latency cost.
Three arXiv papers in two weeks treat multi-agent systems as a shared-state problem. MACE (Sep 18) stores collaboration traces in an adaptive memory graph; a Sep 29 paper ties task regions to agent responsibility, handoffs, and memory access.
Arc
Memory-graph approach to reusing multi-agent collaboration traces.
Frames handoffs and memory access as properties of workflow structure.
Raises safety concerns for agents that communicate in representation space.
Memory-graph approach to reusing multi-agent collaboration traces.
Frames handoffs and memory access as properties of workflow structure.
Raises safety concerns for agents that communicate in representation space.
What to watch — open questions
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