Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
arXiv SecurityArchived May 13, 2026✓ Full text saved
arXiv:2605.11032v1 Announce Type: new Abstract: We present Portable Agent Memory, an open protocol and reference implementation for transferring persistent memory state across heterogeneous AI agents. Modern AI agents accumulate rich context -- episodic events,semantic knowledge, procedural skills, working state, and identity preferences -- but this context remains locked within vendor-specific runtimes. Portable Agent Memory addresses this through: (1) a five-component structured memory model w
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✦ AI Summary· Claude Sonnet
Computer Science > Cryptography and Security
[Submitted on 10 May 2026]
Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
Santhosh Kumar Ravindran
We present Portable Agent Memory, an open protocol and reference implementation for transferring persistent memory state across heterogeneous AI agents. Modern AI agents accumulate rich context -- episodic events,semantic knowledge, procedural skills, working state, and identity preferences -- but this context remains locked within vendor-specific runtimes. Portable Agent Memory addresses this through: (1) a five-component structured memory model with content-addressable entries linked by a Merkle-DAG provenance graph providing tamper-evidence; (2) capability-based access control enabling selective, scoped disclosure of memory segments; (3) an injection-resistant rehydration protocol that adapts recalled content to heterogeneous target models while mitigating indirect prompt injection; and (4) a JSON-first serialization format with optional CBOR compaction for efficient transport. We provide a Python SDK with 54 passing tests, agent skills for multiple platforms, and demonstrate cross-model memory transfer between GPT-4, Claude, Gemini, and Llama architectures. The protocol is open-source under Apache 2.0.
Comments: 8 pages, 28 references
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)
MSC classes: 68T42
ACM classes: I.2.11; I.2.6
Cite as: arXiv:2605.11032 [cs.CR]
(or arXiv:2605.11032v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2605.11032
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Submission history
From: Santhosh Kumar Ravindran [view email]
[v1] Sun, 10 May 2026 23:24:06 UTC (18 KB)
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