Stateless Decision Memory (DPM) Brings Event-Sourced Agent Memory to Enterprise
Stateless Decision Memory (DPM) proposes replacing per-agent stateful memory with an immutable decision log — a stream of append-only events any agent instance can replay to reconstruct full context. This eliminates the statefulness that makes multi-agent systems hard to audit, scales naturally to multi-tenant deployments (each tenant gets isolated log partitions), and provides per-event provenance that is a regulatory requirement in finance, healthcare, and legal deployments. The paper is framed as a deployment specification, not a new theory.
Why It Matters
DPM is the first agent memory architecture paper that takes regulated enterprise requirements seriously as first-class constraints, not afterthoughts. For teams building AI for finance, healthcare, or other regulated sectors, this is a direct design reference for compliant agent memory that can survive audits.