On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
Craig Steven Wright

TL;DR
This paper introduces a blockchain-based automata-theoretic framework for immutable, verifiable memory in artificial agents, ensuring auditability, privacy, and non-repudiation through cryptographic commitments and formal logic.
Contribution
It proposes the Merkle Automaton architecture integrating blockchain commitments, cryptographic access control, and formal reasoning for immutable, auditably verifiable agent memory.
Findings
Memory fragments are anchored on-chain for permanence.
Cryptographic keys derived from ECDH enable secure access.
Reasoning steps are verified through formal logic and deterministic traversal.
Abstract
This paper presents a formalised architecture for synthetic agents designed to retain immutable memory, verifiable reasoning, and constrained epistemic growth. Traditional AI systems rely on mutable, opaque statistical models prone to epistemic drift and historical revisionism. In contrast, we introduce the concept of the Merkle Automaton, a cryptographically anchored, deterministic computational framework that integrates formal automata theory with blockchain-based commitments. Each agent transition, memory fragment, and reasoning step is committed within a Merkle structure rooted on-chain, rendering it non-repudiable and auditably permanent. To ensure selective access and confidentiality, we derive symmetric encryption keys from ECDH exchanges contextualised by hierarchical privilege lattices. This enforces cryptographic access control over append-only DAG-structured knowledge graphs.…
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Taxonomy
Topicssemigroups and automata theory · Distributed systems and fault tolerance · DNA and Biological Computing
MethodsHigh-Order Consensuses
