SAMEP: A Secure Protocol for Persistent Context Sharing Across AI Agents

• URL: http://arxiv.org/abs/2507.10562v1
• Date: Sat, 05 Jul 2025 02:20:09 GMT
• Title: SAMEP: A Secure Protocol for Persistent Context Sharing Across AI Agents
• Authors: Hari Masoor,
• Abstract summary: SAMEP (Secure Agent Memory Exchange Protocol) is a novel framework that enables persistent, secure, and semantically searchable memory sharing among AI agents.<n>Our protocol addresses three critical challenges: (1) persistent context preservation across agent sessions, (2) secure multi-agent collaboration with fine-grained access control, and (3) efficient semantic discovery of relevant historical context.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Current AI agent architectures suffer from ephemeral memory limitations, preventing effective collaboration and knowledge sharing across sessions and agent boundaries. We introduce SAMEP (Secure Agent Memory Exchange Protocol), a novel framework that enables persistent, secure, and semantically searchable memory sharing among AI agents. Our protocol addresses three critical challenges: (1) persistent context preservation across agent sessions, (2) secure multi-agent collaboration with fine-grained access control, and (3) efficient semantic discovery of relevant historical context. SAMEP implements a distributed memory repository with vector-based semantic search, cryptographic access controls (AES-256-GCM), and standardized APIs compatible with existing agent communication protocols (MCP, A2A). We demonstrate SAMEP's effectiveness across diverse domains including multi-agent software development, healthcare AI with HIPAA compliance, and multi-modal processing pipelines. Experimental results show 73% reduction in redundant computations, 89% improvement in context relevance scores, and complete compliance with regulatory requirements including audit trail generation. SAMEP enables a new paradigm of persistent, collaborative AI agent ecosystems while maintaining security and privacy guarantees.

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