Goal & context
What the work is trying to accomplish, which identity and context apply, and what must remain in scope.
NAESTRO / ARCHITECTURE
NAESTRO is the META BRAIN coordinating goals, intelligence, memory, tools, execution and review. A trajectory is the inspectable path from an intent to an outcome, including pauses, refusals and recovery.
Connect applications, model systems, CLIs and business services.
Contract, execution, memory, routing, governance and evidence retain distinct roles.
Engineering, research and business modules develop in stages.
One model response can produce useful text. A continuing operating environment has to hold the thread: what was requested, what was tried, what a tool returned, what policy allowed and what should happen next. NAESTRO provides that coordination layer around the systems that do the work.
What the work is trying to accomplish, which identity and context apply, and what must remain in scope.
A continuation-aware plan turns intent into bounded work, with a next action and a reason for choosing it.
Connectors perform the requested work through declared interfaces. Availability and provider limits remain visible.
Rules, approvals and refusals sit at the decision boundary before consequential work is applied.
Memory and runtime state carry the work forward while preserving the distinction between observed and inferred context.
Reviewers can inspect what happened, what was missing and which claims the record actually supports.
NAESTRO is a proprietary commercial product of STARGA, Inc. Its product architecture is designed to bring together a workspace frontend for projects, conversations and tools, and an administration frontend for organizations, access, providers, modules, nodes and audit review.
Edge deployment is central to the direction: keep useful execution and context close to the work, with configured connections to private fleets and cloud services. Each deployment defines its data boundary, admitted capabilities and external dependencies.
Explore the product architectureThe self-evolution direction applies the same discipline to changes in plans, skills, memory and routing. Preserve the baseline, propose a change, evaluate it against an agreed objective, then decide whether the evidence supports adoption.
Keep the current version and the outcome to improve.
Make a bounded change with an explicit hypothesis.
Compare results, costs and required checks.
Adopt an authorized improvement or retain the baseline.
Failed candidates and inconclusive results remain useful evidence. The integration roadmap connects these records to independent review; an improved score alone does not authorize changing the operating system.
See the first evaluation protocolAgents, providers and connectors may be substituted according to the workflow. NAESTRO describes the handoff and records the relevant result; it does not imply that every provider supports every mode.
A policy decision is part of the trajectory. A refusal, unavailable tool or missing approval is a meaningful state that can be resumed once its condition is met.
Establishment checks supported semantics. Authorization determines what may proceed. Evidence preserves the decision and outcome.
The admission model below separates component responsibility from integration maturity. It describes which layer owns a decision; it does not claim that every handoff is implemented in every deployment.
Turn intent into an explicit semantic contract: the requested outcome, constraints and acceptance conditions.
Produce a candidate source program, IR, kernel or device plan. A proposal carries no execution authority.
Normalize, type-check and apply the supported verification procedure. Rejected or unresolved candidates return for revision.
Lower the admitted computation for a supported target and execute within the authorized scope.
Connect the canonical artifact, establishment evidence, authority decision and execution receipts for review.
This is the ecosystem’s responsibility model. Each implementation and integration has a defined scope; establishment does not grant authority or imply proof of every property.
MIND-Intent’s design takes a human goal and constraints through a reviewable IntentSpec to a Contract IR trust boundary. The current work defines that contract architecture and reference examples; parser, analyzer and end-to-end implementation remain planned.
See the MIND-Intent roleMIND normalizes a proposed computation and checks its supported semantic obligations. 512-MIND applies the separate invariants, governance and policy decision for an admitted action. Authorization does not replace semantic establishment or imply runtime proof.
See the 512-MIND roleA rejected or unresolved contract has no execution path. Arch-MIND contributes structural review of boundaries and relationships; structural review is distinct from semantic proof and runtime execution.
The substrate roadmap spans CPUs, GPUs and other accelerators, FPGA/ASIC, quantum and neuromorphic systems. Admission requires a concrete target contract, supported semantics and relevant verification evidence. Quantum measurement uses an explicit statistical contract; physical observations retain explicit uncertainty. Coverage is demonstrated per target and workload as adapters mature.
The explorer on the home page uses a deliberately small example: a plan reaches a refused action, names the missing evidence, then resumes. The example is illustrative. It shows the shape of reviewable work without claiming universal enforcement across arbitrary systems.
See how we evaluate a trajectoryBring a real workflow. Start with a bounded question.
Discuss an evaluation