AGENTIC-SYSTEMSMarch 20, 20261 min read22 views

MemArchitect: A Policy Driven Memory Governance Layer

MemArchitect introduces a policy-driven memory governance layer to address issues like outdated information and data conflicts in LLMs, highlighting the necessity of structured memory governance for reliable autonomous systems.

Computer Science > Artificial Intelligence

Title:MemArchitect: A Policy Driven Memory Governance Layer

View PDF HTML (experimental)Abstract:Persistent Large Language Model (LLM) agents expose a critical governance gap in memory management. Standard Retrieval-Augmented Generation (RAG) frameworks treat memory as passive storage, lacking mechanisms to resolve contradictions, enforce privacy, or prevent outdated information ("zombie memories") from contaminating the context window.

We introduce MemArchitect, a governance layer that decouples memory lifecycle management from model weights. MemArchitect enforces explicit, rule-based policies, including memory decay, conflict resolution, and privacy controls.

We demonstrate that governed memory consistently outperforms unmanaged memory in agentic settings, highlighting the necessity of structured memory governance for reliable and safe autonomous systems.

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Source: arXiv cs.AI Recent

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