The paper proposes treating memory governance in LLM multi-agent systems as artificial selection regimes to ensure shared memories have traceable provenance, epistemic quality, and correction pathways.
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
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Governed Collaborative Memory as Artificial Selection in LLM-Based Multi-Agent Systems
The paper proposes treating memory governance in LLM multi-agent systems as artificial selection regimes to ensure shared memories have traceable provenance, epistemic quality, and correction pathways.