Multi-Family Bare-Metal GPUs · Unified krusch-stack (39 MCP Tools) · @krusch/toolkit · PostgreSQL 16 State Planes

Language models are stateless, interchangeable compute samplers—routing, working memory, codebase navigation, and filesystem mutations belong to a deterministic systems stack.

Instead of layering heavyweight prompt frameworks over a single metered cloud API and flat sliding-window RAG, my engineering stack inverts the model:

• One-Command Unified Distribution (krusch-stack v1.0.0): Install the entire 7-pillar, 39-tool Sovereign AI Tech Stack in a single command (npx krusch-stack init for zero-Docker SQLite WAL, or docker compose up -d for full PostgreSQL 16 + pgvector), auto-configuring Claude Code, Cursor, Windsurf, and Antigravity.
• Multi-Family GPU Isolation: 5 local bare-metal GPUs (57GB+ VRAM over 10GbE) + an on-demand 96GB Blackwell G4 burst tier run orthogonal model families (Qwen3, Gemma 4, Hermes 3, GPT-OSS, Gemini 4 Argon) so no model family ever grades its own homework.
• Relational State & 7 Focused MCP Servers: Working memory, Git Commit DAGs, AST caller/callee graphs, and 8-node OS page trees live in PostgreSQL 16 + pgvector HNSW and zero-Docker SQLite WAL.
• Zero-Bloat Shared Runtime (@krusch/toolkit & krusch_toolkit): Every Node.js 22 ESM and Python 3.12 repository imports unified LLM/vision clients, logprob routers, cross-family Referee gates, and context pruners from one monorepo toolkit.
• Closed-Loop Self-Distillation: A 24/7 autonomous SRE daemon (Jean SRE) continuously sweeps 86 software targets, verifies fixes in hermetic test sandboxes, and distills test-gated Golden Remediations back into local weights via QLoRA.

# Zero-config local install (Node.js 22+ built-in SQLite WAL) — auto-configures Claude Code, Cursor, Windsurf & Antigravity
npx krusch-stack init --ide all --mode unified --profile full && npx krusch-stack doctor

┌─────────────────────────────────────────────────────────────────────────────────────┐
│ UNIFIED DISTRIBUTION · krusch-stack v1.0.0 (npx krusch-stack init │ docker compose) │
│           7 Integrated Pillars · 39 Annotated MCP Tools · SQLite WAL + pgvector     │
├─────────────────────────────────────────────────────────────────────────────────────┤
│ LAYER 5 · SOVEREIGN DOMAIN ENGINES & EXECUTION SURFACES                             │
│           KruschNexus · KruschLaw (0.00% FSR) · KruschBiz · Companion · G-Krusch    │
├─────────────────────────────────────────────────────────────────────────────────────┤
│ LAYER 4 · AUTONOMOUS SRE, VERIFICATION & DUAL-TRACK QLoRA SELF-DISTILLATION         │
│           Jean SRE (86 Targets) · Spec-First Referee Gate · 9,377 SFT Trajectory DB │
├─────────────────────────────────────────────────────────────────────────────────────┤
│ LAYER 3 · ZERO-BLOAT RUNTIME & SHARED MONOREPO TOOLKITS                             │
│           @krusch/toolkit (Node 22 ESM · node:sqlite · node --test · oxlint)        │
│           krusch_toolkit  (Python 3.12 · FastAPI · SQLAlchemy 2.0 · PyArrow)        │
├─────────────────────────────────────────────────────────────────────────────────────┤
│ LAYER 2 · 7-SERVER MODEL CONTEXT PROTOCOL (MCP) & RELATIONAL STATE SUBSTRATE        │
│           PostgreSQL 16 + pgvector HNSW · SQLite WAL · Polygres Cloud Bridge        │
│           Tier 1: krusch-context-mcp │ Tier 2A: krusch-git │ Tier 2B: krusch-fs-mcp │
│           Tier 3: krusch-harness 2PC │ Domain: Gateway · Frontend · G-Krusch        │
├─────────────────────────────────────────────────────────────────────────────────────┤
│ LAYER 1 · COMPUTE, MULTI-FAMILY 5-GPU POOL & MICROSECOND CASCADE ROUTING            │
│           Stage 0 (<15µs CPU) ──► Stage 1 (<25µs / <50ms Centroids · 80.72% Acc)    │
│           ──► Local 5-GPU Pool (57GB+ VRAM · 10GbE) ──► 96GB Blackwell G4 (120B)    │
│           ──► Frontier Escalation & 3-Viewport Chrome UI Audit (Gemini 4 Argon)     │
└─────────────────────────────────────────────────────────────────────────────────────┘

All local inference models are pinned 100% in VRAM (keep_alive: -1, q8_0 quantized KV caches, zero CPU spill) across an 8-node Linux fleet interconnected via a dedicated 10GbE fabric and encrypted Tailscale mesh:

Standardized across Antigravity, Claude Code, Cursor, and Windsurf. You can deploy the entire stack as a single unified server via krusch-stack (npx krusch-stack init) or run each modular MCP server independently with explicit behavioral annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint):

We avoid heavyweight framework dependencies by standardizing every service across 27+ core repositories on Node.js 22+ ESM, Python 3.12, PostgreSQL 16, and a pair of zero-bloat shared monorepo libraries:

• JavaScript / Web Stack: Node.js 22 ESM ("type": "module"), built-in node:sqlite (DatabaseSync with WAL + automatic PRAGMA quick_check corruption self-healing), native node --test, oxlint, Express, React + Vite + Tailwind CSS, and Cloudflare Pages/Workers.
• Python / Data & ML Stack: Python 3.12, FastAPI, SQLAlchemy 2.0, Pydantic v2, PyArrow, Poppler TSV layout extraction, faster-whisper, and pytest.

1. Spec-First & Disjoint Parallel Subagent Fan-Out (INV-606): Multi-module builds freeze exports, schemas, and JSON contracts ({ ok, tool, summary, data }) in spec.md, fan out parallel subagents owning 1–2 disjoint files with local node --check / npx oxlint verification, and wire shared choke points exclusively in the parent orchestrator before running the Dual-Zero-Finding Convergence Gate.
2. Jean SRE by Kruschdev (jean-sre) 24/7 Fleet & Codebase Sweeps: Our autonomous SRE daemon continuously audits all 88 software targets and 21+ infrastructure checks—building AST symbol indexes, running cross-family Referee audits, verifying candidate fixes inside hermetic container test suites (node --test and pytest), and publishing 17,899 test-verified SFT trajectories (krush420/sovereign-code-audit-sft).
3. Dual-Track QLoRA Distillation on 96GB Blackwell G4 (Published on Hugging Face @krush420):
   • 120B Teacher Track (krush420/gpt-oss-120b-sre-lora): Uses native Blackwell Mxfp4Config(dequantize=False) to keep 128 MoE experts frozen in hardware-native 4-bit MXFP4 (~60.8GB VRAM) while training BF16 attention LoRA adapters (r=16, alpha=32, loss 7.448 -> 1.737, 64.89% token acc) on 2,208 elitist teacher rows (2x oversampled Gemini 4 Argon Golden Remediations + rejection-sampled 120B traces).
   • 30B Student Track (krush420/qwen3-coder-30b-sre-lora): Trained on our curated Elitist 120B + Argon Golden Remediations split (loss 0.731 -> 0.214, 93.36% token acc) to continuously upgrade our local 124.2 tok/s coding workhorse.

• ⚡ The 2026 Sovereign AI Tech Stack: Multi-Family GPUs, 3-Tier MCP Substrates, @krusch/toolkit, and Closed-Loop Distillation — End-to-end blueprint of our 5 bare-metal GPUs + 96GB Blackwell G4 burst tier, 7 MCP servers, zero-bloat Node 22 / Python 3.12 runtime, and dual-track QLoRA self-distillation.
• 🧠 The Closed-Loop Audit & Distillation Pipeline: 3-Tier MCP Context Hydration, Cross-Family Referees & Dual-Track QLoRA — How Jean SRE audits 88 repositories across 11 checkpoints and distills 17,899 test-verified SFT trajectories into our 120B Teacher and 30B Student QLoRA adapters.
• ⚡ Multi-Tier Cascade Routing: Slashing Enterprise Inference Budgets by 60–80% — How krusch-pre-router (<15µs CPU gate) and krusch-cascade-router achieve 80.72% accuracy at $0.21/1K on RouteWorks RouterArena.
• 🧠 Beyond Flat Vector RAG: What Makes krusch-context-mcp Special — The 5-verb working memory contract (~350 tokens), closed write taxonomy, and INV-12 span-grounded SHA-256 drift detection.
• 🌳 krusch-git: Git DAG Indexing, Relational AST Symbols, and Hybrid Recency Search — Zero-dependency AST symbol extraction, recursive multi-hop caller/callee CTEs, and Hybrid RRF in PostgreSQL 16 + pgvector.
• 🗂️ krusch-fs-mcp: OS Filesystem Page Memory, SHA-256 Drift Detection & Multi-Node Fleet Indexing — Turning PDFs, DOCX, and /etc/systemd across an 8-node SSH fleet into layout-true page trees with secret-redacted .env indexing.
• 🛡️ The Krusch Coding Harness: Why Autonomous Code Agents Require a Transaction Manager, Not a Prompt — Pre-commit SHA-256 diff staging in PostgreSQL, Bubblewrap sandboxes, and <32ms two-phase commit (2PC) apply journals.