Governed Memory: A Production Architecture for Multi-Agent Workflows
#Governed Memory #multi-agent workflows #production architecture #memory management #scalability
📌 Key Takeaways
- Governed Memory is a production architecture designed for multi-agent workflows.
- It focuses on managing and controlling memory access and usage across multiple agents.
- The architecture ensures efficient and secure data handling in collaborative agent environments.
- It aims to enhance scalability and reliability in complex multi-agent systems.
📖 Full Retelling
arXiv:2603.17787v1 Announce Type: new
Abstract: Enterprise AI deploys dozens of autonomous agent nodes across workflows, each acting on the same entities with no shared memory and no common governance. We identify five structural challenges arising from this memory governance gap: memory silos across agent workflows; governance fragmentation across teams and tools; unstructured memories unusable by downstream systems; redundant context delivery in autonomous multi-step executions; and silent qu
🏷️ Themes
Multi-Agent Systems, Memory Architecture
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Original Source
arXiv:2603.17787v1 Announce Type: new
Abstract: Enterprise AI deploys dozens of autonomous agent nodes across workflows, each acting on the same entities with no shared memory and no common governance. We identify five structural challenges arising from this memory governance gap: memory silos across agent workflows; governance fragmentation across teams and tools; unstructured memories unusable by downstream systems; redundant context delivery in autonomous multi-step executions; and silent qu
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