Research foundations for PDDS and sovereign AI infrastructure.
OpenKedge LLC is the research initiative and implementation framework that makes Post-Deterministic Distributed Systems (PDDS) practical for sovereign AI and autonomous infrastructure. The papers develop the protocols, assurance systems, and governance mechanisms needed when AI agents, autonomous services, and human operators become active participants in distributed systems.
Published research artifacts
In progress
Research themes
PDDS
Developing the paradigm for reasoning about adaptive, autonomous, probabilistic, and human-mediated participants.
Assurance
Defining protocols, evidence records, execution identities, and policy boundaries for governed autonomous systems.
Sovereign AI
Translating the research into deployment patterns for enterprises, critical infrastructure, and national-scale initiatives.
PDDS: Post-Deterministic Distributed Systems
Post-Deterministic Distributed Systems (PDDS) is a field-opening paradigm for trustworthy autonomous infrastructure beyond the deterministic-node assumption.
OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains
The foundational paper shows how direct AI action can become a governed request first: checked against context and policy, narrowed by an execution boundary, assigned an identity, and recorded as evidence. The goal is simple: AI can move fast, but authority stays bounded.
Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems
Extends the OpenKedge control model to sovereign environments where AI may recommend, analyze, or coordinate work, but execution remains bounded by external authority, explicit approval, and auditable evidence.
Verifiable Agentic Infrastructure: Execution Identity and Evidence Chains at Scale
Defines how execution authority is scoped to a task, and how evidence becomes a portable record of what was approved and what happened. Establishes execution identity and standardized evidence chains as trust primitives for enterprise AI operations.
Protocol-Driven Development: Governing Generated Software Through Invariants and Evidence
Introduces Protocol-Driven Development (PDD), a development model in which the primary software artifact is a machine-enforceable protocol rather than implementation code. An implementation is admitted if and only if it satisfies the governing protocol and produces a verifiable Evidence Chain of compliance.
Sovereign Assurance Boundary: Certificate-Bound Admission for Agentic Infrastructure
Introduces a multi-signature assurance layer for agentic AI. Rather than relying on a single control node, mutations are evaluated and collectively signed by a federated network of independent policy validators, guaranteeing resilient consensus-driven safety.
Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure
Introduces Semantic Quorum Assurance (SQA) to certify meaning, intent, policy, and evidence across stochastic and diverse participants, replacing bitwise consensus with semantic verification.
Epistemic State Replication: Memory Consistency and Semantic Linearizability in Agentic Distributed Systems
Proposes Epistemic State Replication (ESR) for replicating knowledge states and belief lineage across neural distributed nodes, establishing semantic linearizability and rollback primitives.
Sovereign Execution Brokers: Enforcing Certificate-Bound Authority in Agentic Control Planes
Enforces boundaries on agent execution authority by using cryptographically signed authorization certificates routed through execution brokers, guaranteeing that reasoning components cannot exceed their delegated power.
The Autonomous State Control Plane: A Reference Architecture for Sovereign AI Systems
Connects the trust and safety primitives into a concrete adoption blueprint for cloud, hybrid, and edge operations. The reference architecture establishes a deterministic execution control plane that isolates unstable reasoning from live operations while guaranteeing absolute auditability.
From Sovereign Compute to Sovereign Execution: A Control-Plane Architecture for Saudi Arabia's National AI Infrastructure
Created as a reference architecture for KSA, this strategic white paper maps sovereign execution across Saudi national AI infrastructure, Vision 2030-scale programs, multi-ministry policy federation, and governed AI execution boundaries.
