Roadmap

Building the roadmap from PDDS research to sovereign AI deployments.

OpenKedge LLC is the research initiative and implementation framework that makes Post-Deterministic Distributed Systems (PDDS) practical for sovereign AI and autonomous infrastructure. The roadmap sequences the papers, protocols, assurance systems, and open source implementations that move the paradigm from research foundation to governed deployment.

10

Planned publications

8

Published papers

2

OSS on GitHub

Initiative Phases

Phase 1Complete

PDDS Foundation

Define Post-Deterministic Distributed Systems (PDDS), formalize the governed action pipeline, and publish the foundational research.

Phase 2Complete

Assurance & Verification

Establish the protocols, assurance systems, execution identities, evidence chains, and protocol-driven development model that make PDDS practical.

Phase 3In Progress

Sovereign AI Deployment

Deliver reference architectures and open implementation patterns for enterprises, critical infrastructure, and national-scale digital transformation initiatives.

PDDS

Advance the paradigm for reasoning about non-deterministic participants in distributed systems.

OpenKedge

Translate the research into protocols, assurance systems, evidence records, and reference implementations.

Sovereign AI

Define governable deployment patterns for autonomous systems operating across real institutions.

Publication Sequence

Paper 8In ProgressQ1 2027Phase 3
Control Plane

Sovereign Execution Brokers

Enforcing Certificate-Bound Authority in Agentic Control Planes

Defines: Certificate-bound authority and policy brokers

Enforces boundaries on agent execution authority by using cryptographically signed authorization certificates routed through execution brokers.

Paper 7In ProgressQ4 2026Phase 3
Persistence layer

Epistemic State Replication

Memory Consistency and Semantic Linearizability in Agentic Distributed Systems

Defines: Semantic linearizability and knowledge lineage

Replicates cognitive states and belief histories across neural distributed nodes while enabling semantic rollback and consistent coordination.

Paper 6PublishedJune 2026Phase 3
Assurance framework

Semantic Quorum Assurance

Collective Certification for Non-Deterministic AI Infrastructure

Defines: Collective semantic certification

Certifies meaning, intent, policy, and evidence across diverse stochastically-behaving nodes instead of relying on bitwise agreement.

View paper
Paper 5PublishedJune 2026Phase 3
Assurance framework

Sovereign Assurance Boundary

Certificate-Bound Admission for Agentic Infrastructure

Defines: Multi-signature consensus governance

Establishes a cryptographically signed collective approval framework where multi-agent orchestrations are validated by consensus-driven assurance loops.

View paper
🇸🇦 KSA Whitepaper 2PublishedMay 2026Phase 3
KSA reference architecture

KSA Reference Architecture: From Sovereign Compute to Sovereign Execution

A Control-Plane Architecture for Saudi Arabia's National AI Infrastructure

Defines: KSA execution boundaries, Saudi national AI infrastructure, and policy federation

Created as a reference architecture for KSA, the white paper maps sovereign execution across Saudi national AI infrastructure, Vision 2030-scale programs, multi-ministry policy federation, and governed AI execution boundaries.

View paper
Whitepaper 1PublishedMay 22, 2026Phase 3
Reference architecture

The Autonomous State Control Plane

A Reference Architecture for Sovereign AI Systems

Defines: End-to-end adoption blueprint

Connects the primitives into an implementation map for cloud, hybrid, and edge operations that require auditability by design.

Paper 3PublishedMay 15, 2026Phase 2
Trust primitives

Verifiable Agentic Infrastructure

Execution Identity and Evidence Chains at Scale

Defines: Execution Identity and standardized Evidence Chains

Defines how execution authority is scoped to a task, and how evidence becomes a portable record of what was approved and what happened.

View paper
SkillPublishedMay 14, 2026Phase 2
Tooling

PDD Protocol Author

Defines: AI skill for PDD

An AI skill that turns ambiguous human-language software requirements into Protocol-Driven Development bundles.

Paper 4PublishedMay 13, 2026Phase 2
Development model

Protocol-Driven Development

Governing Generated Software Through Invariants and Evidence

Defines: Machine-enforceable protocols

Defines a development model in which the primary software artifact is a machine-enforceable protocol rather than implementation code.

View paper
Paper 2PublishedApr 24, 2026Phase 1
Deployment model

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Defines: Boundary enforcement and national-scale topologies

Shows how OpenKedge can be deployed across regulated, multi-organization environments without granting AI unchecked infrastructure power.

View paper
OSS CorePublishedApr 10, 2026Phase 1
Infrastructure

OpenKedge Protocol

Defines: Reference implementation

The open-source reference implementation of the OpenKedge protocol, providing the control plane for execution-bound safety and evidence chains.

Paper 1PublishedApr 10, 2026Phase 1
Foundation

OpenKedge

Defines: Control plane abstraction and IEEC

Establishes the protocol layer that turns AI requests into governed, boundary-scoped infrastructure action.

View paper