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Infrastructure

Execution should understand the systems it runs on.

Neunuc is designed to stay aware of compute, storage, identity, network boundaries, local tools, cloud services, and external APIs. Infrastructure is not an afterthought; it is part of the runtime contract.

Architecture

Layered so the platform can change without collapsing.

Interfaces
Web, API, CLI, desktop, dashboards, agents, and document surfaces.
L6
Capabilities
Research operations, automation engineering, analytics, federal delivery, infrastructure consulting.
L5
Platform Services
Knowledge graph, RAG, search, auth, storage, telemetry, messaging, and document services.
L4
NUC Runtime
Operation execution, workflow routing, scheduling, state, context, memory, and agent coordination.
L3
System Foundation
Configuration, lifecycle, dependency resolution, security boundaries, event bus, and policy checks.
L2
Infrastructure
Compute, storage, identity, network, local tooling, cloud providers, and external APIs.
L1

Operating posture

Practical infrastructure choices for a modular platform.

Local-first tooling

Support file watchers, repo scanners, desktop workflows, and local knowledge ingestion without forcing every action into a cloud dependency.

Cloud deployment

Static-first public surfaces deploy cleanly to Cloudflare Pages while platform services can evolve behind stable interfaces.

Service contracts

Modules expose clear inputs, outputs, policies, and dependencies so implementations can be swapped without breaking the model.

Observability

Operations produce traces, state, logs, artifacts, and review points so automation remains inspectable.

Runtime lifecycle

Infrastructure, execution, and knowledge share the same loop.

Create

01

Capture an artifact, task, document, repository, request, or workflow input.

Normalize

02

Convert raw material into typed objects with metadata, ownership, source, and intent.

Resolve

03

Attach context, dependencies, policy constraints, related knowledge, and available modules.

Execute

04

Run operations through agents, services, workflows, or human-reviewed delivery paths.

Observe

05

Record state, outputs, traces, decisions, failures, and reusable evidence.

Reuse

06

Persist knowledge back into docs, graphs, packages, proposals, and future automations.