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STARGA

Deterministic infrastructure
for the SI era

MIND is a full, self‑hosting systems programming language and compiler, deterministic by construction, built for the age of super intelligence (SI).

From ML models to systems code, the same source compiles to bit‑identical output across x86‑64 and ARM64, with GPU execution through the commercial runtime, compile latency up to 176,000× faster than PyTorch's torch.compile(), and every artifact carries a tamper‑evident evidence chain.

MIND

Machine Intelligence Native Design

v0.10.2 · Apache 2.0

MIND is a deterministic compiler whose computational output is bit-identical across x86-64 (AVX2) and ARM64 (NEON) CPU substrates for its covered workloads, with a hash-anchored, tamper-evident evidence chain embedded in the compiled artifact itself.

Bit-identity is gated in public CI on real x86-64 and ARM64 hardware for the covered integer / Q16.16 and scoped strict-float workloads. GPU execution is through the commercial runtime and is not part of that public gate.

=same result on every chip

  • x86‑64✓
  • ARM64✓
  • RISC‑V
  • POWER
  • GPU✓
  • TPU
  • NPU
  • LPU
  • IPU
  • DPU
  • RDU
  • WSE
  • FPGA
  • ASIC
  • DSP
  • MCU
  • quantum
  • neuromorphic
  • photonic
  • analog

one canonical IR for all · ✓ byte‑verified today

SHA‑256
evidence chain
PQC
signing · opt‑in
How MIND compiles: any source, one compiler, identical artifacts on every chip, evidence insideANY SOURCEHuman intent goalsSI agent plansMIND source DSLsExisting code Rust · C++Models ML graphsKernels CUDA · TritonHardware Verilog · HLSQuantum QASM · QIRData SQL · pipelinesMath & spec proofs · rulesimport · migrate · normalizemindccanonical IR · mic@3deterministic loweringARTIFACTSx86-64AVX2 · AVX-512 · AMX9c1e 7a42 … f4a7 03d1ARM64NEON · SVE2 · SME29c1e 7a42 … f4a7 03d1GPUCUDA · ROCm · Metalcommercial runtimeEvery chip roadmapRISC-V · NPU · FPGAquantum · neuromorphic=EVIDENCE CHAIN · INSIDE THE ARTIFACTtrace_hashSHA-256 · canonical IRevidencefp_mode · SSA · profilesignatureopt-inML-DSA-87 + SLH-DSAmindc verify re-checks the chainwithout trusting the build host.
Explore MIND

NAESTRO

Self-evolving SI operating system

v1.0.0-rc1 · Commercial license

NAESTRO is the world's first META BRAIN: the self-evolving, metacognitive SI operating system of the MIND ecosystem, built to orchestrate and control every SI technology that exists today and every one still to come. One Agent Kernel plans, routes and governs every model, agent, tool and device through MIND Language, and seals every action in a verifiable evidence chain.

The Planner and Scheduler turn intent into budgeted plans; the Router orchestrates every top frontier model and agent, picking the right one for every step; the Policy Engine and MIND-Law authorize each action before it runs; the MIND Runtime executes it deterministically; MIND-Mem remembers it; and the evolution loop learns from every outcome, testing each improvement in a sandbox and promoting it only through governance. Around that core sit specialist crews, a multi-tenant enterprise layer, a governed device plane and the MIND ecosystem: 15 layers and 201 modules in all.

  • Agent KernelThe single control point every agent passes through
  • Interfaces & ConsolesEvery way people and systems reach it
  • Control PlaneDecides what runs, where and when
  • Planning & DeliberationTurns intent into executable plans
  • Governance & ProofAuthorizes every action via MIND-Law
  • Memory & KnowledgeMIND-Mem: governed memory for every decision
  • Execution & Cognitive CoreDeterministic, replayable execution
  • Crews & WorkforceSpecialist crews that do the work
  • Evolution & TrainingLearns and promotes only what is proven
  • Observability & EvidenceEvery action measured and sealed
  • Enterprise & Business OSRuns a whole organisation
  • Physical Device PlaneGoverned control of physical devices
  • MIND EcosystemThe deterministic substrate underneath
  • Model ProvidersEvery top frontier model, plus local ones
  • InfrastructureStorage, compute and secrets
  • Agent Kernel: The single control point every agent, tool and decision passes through. Agent Kernel, Task Registry, Context Builder, Tool Executor, Kernel Replay & Routing Lineage, Agent Registry & Roles, Kernel Event Stream & Steering Queue, Governed Context Pipeline, RAG Agent, Medical Agent, Marketing Agent, CPA Agent, Planner Agent.
  • Interfaces & Consoles: Every way people and systems reach NAESTRO. Notebook RAG UI, Control Plane Dashboard, Chat Interface, Architecture Viewer, Devtools/Inspector, CLI/REST API, Builder UI, Knowledge Graph Inspector, MCO Observatory, Industrial Dashboard, Monitor Dashboard, Audio Lab, Terminal Overlay, Medical Console, Marketing UI, CPA Dashboard, Admin Console, API Gateway & Compatible Edge, Channel Adapters (Chat Plane), Operator Console & Generative UI, Fleet Control Plane.
  • Observability & Evidence: Every decision measured, recorded and verifiable. Eval Framework, Benchmark Suite, A/B Testing, Blind Evaluation & Workload Benchmarks, Prompt Eval Gate, Model Capability Observatory, Telemetry, Tracing & Usage, Unified Observability & Fleet Event Plane, Hardware Observatory, Trajectory Anomaly & Output Evaluation, Audit Vault & Replay Bank, Reliability Layer, Spend Ledger.
  • Evolution & Training: Learns from every outcome and promotes only what is proven. Evolution Agent, SIE Core, Research Scanner, Consensus Engine, Feedback Loop, Capability Registry, Observatory Bridge, Model Fusion, Training Plane, Learning & Promotion, Bounded Self-Evolution, Self-Optimization Layer, Artifact Catalog & Self-Improvement Loop.
  • Crews & Workforce: Specialist crews that do the work. Coder Tools Crew, Health Worker Crew, Voice Agents, Trading Pack, Revenue, Marketing & Research Desk, SDLC Orchestrator, Governed GUI/Web Agent, Group Agent.
  • Planning & Deliberation: Turns intent into plans the agents can execute. Goal Decomposer, Dependency Resolver, Agent Scaffolds, Budgeted Plan DAG, Workflow Compiler, Phase-Gated Task Loop & Target-State Artifacts, Adaptive Consensus (4 tiers), Response Synthesis & Reasoning Modes, Topology-Aware Agent Selection, Judgment Layer: Preferences, Confidence, Variance, Ensemble Manager, Voting Strategies, MoE Router, 5-Layer Critic System.
  • Governance & Proof: Every action is authorized before it runs. Governance Framework, Policy Engine, Operating Constitution, MIND-Law Authorization, Approval Gates, Governance Console & Review Queue, Governed Autonomy Loop, Compliance Audit, Policy Rollout & Authority at Commitment, Async Approval & Autonomy Levels, Safety Engine, Capabilities, Consent & Guardrails, URL & Egress Safety, Command Surface & Hook Hardening, Credential Proxy & Secrets Lifecycle, Decision Evidence Records, Claim Verifier & Abstention, Signed Actors & Record-Before-Act.
  • Enterprise & Business OS: Run it for a whole organisation. RBAC & Tenant Mgmt, SSO, Teams, Connectors, MCP Server & Tools, Federation, Tenancy & Core Consolidation, Module SDK & Signed Registry, Publish Gateway & Private/Public Boundary, SOC2 Continuous Evidence, GA & Tenant Onboarding, Billing & Pricing, Marketplace & Hyperautomation.
  • Physical Device Plane: Governed control of physical devices. Device & Capability Registry, Proposed Action Card & Why-Blocked, Device Simulation, Receipt-First Action History, DeviceIntent, Physical-Effect Flow Nodes & Closed Loops, Device Gateway, Device Receipts (evidence), Device Ecosystem.
  • MIND Ecosystem: The deterministic substrate NAESTRO runs on. MIND Compiler, mic@3 Canonical IR, Evidence Chain, mindc verify, Post-Quantum Hybrid Signing (opt-in), MIND-Spec, MIND Runtime, MIND Flow, MIND Intent, MIND Agents, MIND Cognitive Kernel, Cognitive Kernel Memory Plane, MIND-Mem, MIND-Nerve, Arch-MIND, MIND Codegraph, MIND Inference & MindLLM.
  • Execution & Cognitive Core: Deterministic execution and the continuous cognitive loop. Runtime v2, Cocoon Sandbox, External Compute, Fuel-Bounded Resumable Execution, Cognitive Core Daemon, Perceive / Reason / Plan Modules, Consolidator & Write Discipline, Reflect / Execute / Goals / Self-Modify, Cognitive Frame & Homeostatic Drives, Local Brain & Distillation.
  • Control Plane: Decides what runs, where and when. Orchestrator, Event Bus, External Runtimes API, Multi-CLI Router, Feature Flags, Model Router, Intent-Classification Preselector, Routing as Policy, Declarative CLI-Provider Specs, Code-Graph-Aware Routing, Task Scheduler, Leases, SLOs & Recovery, Admission Control & Quota Reservation, Cadence / Forte / Trinity Controllers, Fleet Topologies & Isolation.
  • Model Providers: Orchestrates every top frontier model, plus local models. Frontier model adapters, Local LLM, Provider Registry & Capabilities, TTS Engine, Local Serving Levers.
  • Infrastructure: Storage, compute and secrets underneath it all. Relational store, Cache & pub/sub, Graph store, Cluster orchestration, GPU Pool, Object Storage, Message Queue, Observability Stack, Secrets Vault.
  • Memory & Knowledge: Governed memory and knowledge for every decision. Vector Store, Chunker, Embedding Service, Reranker, Knowledge Graph Core, Entity Extractor, Relation Mapper, Memory Service, Session Store, Tiered Memory, Memory Vault, MIND-Mem Memory Plane Adapter, REFRAG & Agentic Retrieval, Notebook Knowledge Workspace, Profile Store, Memory Freshness & Re-injection, Bitemporal Memory, Vault Write Fencing & Epoch Reads, Document & Web Intelligence.
  • Agent Kernel serves Interfaces & Consoles
  • Agent Kernel orchestrates Control Plane
  • Agent Kernel decomposes with Planning & Deliberation
  • Agent Kernel checks with Governance & Proof
  • Agent Kernel retrieves from Memory & Knowledge
  • Agent Kernel runs Crews & Workforce
  • Interfaces & Consoles route Control Plane
  • Control Plane route Model Providers
  • Control Plane recall Memory & Knowledge
  • Control Plane execute MIND Ecosystem
  • Memory & Knowledge store Infrastructure
  • Model Providers run on Infrastructure
  • Enterprise & Business OS check Governance & Proof
  • Planning & Deliberation safety check Governance & Proof
  • Physical Device Plane contract MIND Ecosystem
  • Execution & Cognitive Core run on MIND Ecosystem
  • Evolution & Training evaluate Observability & Evidence
  • Observability & Evidence bias Control Plane
  • Interfaces & Consoles benchmarks Observability & Evidence
15 layers · 201 modules · 25M LOCDETERMINISTIC · GOVERNED · SELF-EVOLVING
Explore NAESTRO

Verification is the bottleneck of the SI era.

  1. generatedreviewed by peopleunverified
    01

    Code and models are now generated faster than they can be reviewed.

    SI writes the software and trains the models. What it produces has to be checked by machines, not read by people, which requires execution that can be reproduced and evidence that can be verified.

  2. samesourcex86-64a91f…3c07ARM647c02…e9b1GPUe4d8…05aa≠≠
    02

    The stacks they run on are nondeterministic.

    Python research code, C++ and CUDA for production, separate runtimes for cloud and edge. Results drift across machines, builds cannot be reproduced, and provenance cannot be audited.

  3. 03

    Regulated and safety‑critical adopters cannot ship on that.

    Healthcare, finance, autonomy and government need a bit‑for‑bit reproducible artifact with a checkable chain of evidence. That is the layer STARGA builds: deterministic by construction, verified in public.

Every model, every machine, every edge. One OS.

  1. cloud Aown schedulerown rulesown memorycluster Bown schedulerown rulesown memorylab Cown schedulerown rulesown memory×no shared OS
    01

    Frontier SI runs across clouds, clusters and labs, each with its own stack.

    Every provider, cluster and runtime brings its own scheduler, permissions, memory and logs. NAESTRO unites them: every model, GPU pool and runtime runs as one system under one kernel.

  2. 02

    SI is moving onto devices, vehicles and machines.

    Phones, robots, vehicles, drones and factory lines now run models of their own. NAESTRO extends the same kernel, rules and memory to every one of them through its governed device plane.

  3. modelsagentstoolsdevicesNAESTROpaceauditseal
    03

    Across all of it, every step is paced and auditable.

    Changes are proposed, evaluated and adopted only when proven, and every run is recorded and sealed, so an independent evaluator can reconstruct what happened and challenge any change.

Company

We make super intelligence provable.

STARGA, Inc. builds the infrastructure super intelligence runs on and answers to. MIND compiles every model and program into artifacts that are identical on every chip and carry their own proof. NAESTRO runs every model, machine and edge as one operating system, with every change paced and every run auditable. Together they make SI reproducible, governed and accountable, from the frontier lab to the edge device.

What STARGA, Inc. owns

  • MIND
  • NAESTRO
  • Founded 2025Delaware C Corporation
  • info@star.ga1-877-STARGA-1

Open where adoption happens. Commercial where it runs.

  1. Open core

    free · public

    The compiler and the language specification are Apache 2.0. Adoption starts free and in public.

    Details on mindlang.dev

  2. Commercial runtime

    per seat · per deployment

    GPU, distributed and safety‑critical execution, the hosted control plane and MIND Flow, licensed per seat and per deployment.

    Details on mindlang.dev

  3. Enterprise

    contract · SLA

    On‑premises or VPC deployment, custom retention of evidence logs, SLAs and training for regulated adopters.

    Details on mindlang.dev

Let's engineer your deterministic infrastructure.

A technical briefing with the team that builds the compiler, the runtime and the operating system on top of it. Start with the open‑core toolchain or evaluate the commercial runtime for your stack.

info@star.ga