NeuroFabric · Architecture
Reference control-plane architecture
This page documents the runtime primitives NeuroFabric studies: governed execution, policy-bounded automation, deterministic orchestration, and an execution ledger for ordered traces, review, and replay-oriented workflows. It is a technical reference for the research initiative, not a product catalog.
Planning (including from a model) is separated from what may run: policy gates, a registry of allowed capabilities, ledgered steps, and orchestration that dispatches only to registered, deterministic tools.
End-to-end execution path
The diagram below is a reference ordering of concerns: planning, policy gate, allow-listed capabilities, append-style execution trace, dispatch, and bounded tool execution. Exact implementations vary; the intent is readable separation of phases without implying a single shipped layout.
Governed execution here means: nothing runs unless it passes policy against a known registry, and meaningful steps are reflected in an execution ledger suitable for review. Deterministic orchestration means the orchestrator invokes only registered adapters/tools under those constraints — not open-ended model-driven side effects.
Primitive shorthand
Many security and platform teams already use adjacent ideas. The table is a lexical bridge — not a claim that these enterprise controls are identical to NeuroFabric components.
| Familiar control idea | Runtime primitive in this architecture |
|---|---|
| Egress / access gate | Tool policy and allow-list (registry) |
| Central event / audit log | Execution ledger (ordered trace) |
| Orchestrated runbooks | Deterministic orchestration under policy |
| Identity and tenancy boundaries | Workspace / context boundaries |
Use it to orient readers; the canonical definitions are the primitives in the following section.
Runtime primitives
How the architecture program talks about control — concise, implementation-agnostic where possible.
Policy and registry
- • Policy-bounded automation: intent does not imply permission to execute
- • Registry models allowed tools and adapters — not arbitrary endpoints
- • Governed execution paths instead of ad hoc model-to-network chains
- • Least-privilege framing for what the orchestrator may invoke
Execution ledger
- • Ordered record of meaningful steps for review and incident-style analysis
- • Supports replay-oriented debugging and audit-style narratives where applicable
- • Complements (not replaces) your own retention and access policies
- • Design space includes validation hooks; specifics depend on implementation
Deterministic orchestration
- • Orchestrator dispatches only along registered, contract-shaped paths
- • Separates non-deterministic planning from side-effecting execution
- • Reduces prompt-injection surface against unregistered tools (design goal)
- • Automation cannot exceed declared policy in this architectural model
Control-plane components
- • Planner — structured plan from planning input (e.g. model output)
- • Policy — gate on what may proceed
- • Registry — authoritative allow-list of tools/adapters
- • Ledger — execution trace for review and replay-oriented use
- • Orchestrator — deterministic dispatch within constraints
- • Context — bounded state visible to the path
Deployment topology (conceptual)
The initiative treats protected / sovereign / private deployment models as first-class design targets: residency, trust boundaries, and where the control-plane path runs relative to data and tools. The figure is schematic — it does not assert certifications, approvals, or a specific live topology.
Collaboration and scope
Technical depth
Engagements focus on architecture, prototypes, and documentation — what is bounded, what is ledgered, and how orchestration stays deterministic relative to registered tools.
Reviewable artifacts
Outputs are meant for engineering and security review: explicit tradeoffs, open questions, and traceable narratives — not undifferentiated “AI” claims.
Deployment conversations
NeuroFabric is not framed here as the in-market deployment vehicle. For current deployment conversations, use Atlas.
In-market product
For current deployment conversations, see Atlas .
Continue with the architecture program
Contact is appropriate for research questions and technical discussion. For applied work and rollout, follow the Atlas pointer below.
In-market product
For current deployment conversations, see Atlas .