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Vision — Infinity Cloud

Solo-built agentic AI ecosystem from Switzerland on a 100W NVIDIA GB10 Blackwell desktop supercomputer. Three independent agentic projects: cognitive robotics (Unitree Go2 + Isaac Sim 5.1 + GR00T N1.7), local-first BI (DuckDB + Claude NL→SQL), and LLM-reasoning EDR cybersecurity. Production-grade, no cloud lock-in.

License: MIT Hardware Made in Switzerland Last commit

Author: Minh-Tam Dang — Infinity Cloud Sàrl, Geneva, Switzerland · infinitycloud.ch


Context

Solo builder. Twenty years of program management at scale (Pernod Ricard, ICRC). Stepped back from corporate roles in 2023 to pursue causes that matter — education, robotics, and AI. A privilege I take seriously. Founded Infinity Cloud Sàrl in Switzerland in 2024.

Hardware footprint: a personal NVIDIA DGX Spark (Grace-Blackwell GB10, 128 GB unified memory, 100 W TDP) under the desk, paired with a Mac M3 Ultra. No cloud rental, no rented GPUs. Every workload runs on hardware I own.

Method: an "agentic farm" of specialized AI agents (STRAT/DEV pairs) coordinated through tmux sessions and structured protocols. Each project gets its own agent team. Sprints are short, deliverables are real, validation is QA-driven. The IEEE-format paper PrivExpensIA: Observational Study of a Multi-Agent Orchestration Framework (September 2025) documents the approach.

The orchestration backbone is MonoCLI — a Python CLI built specifically because no tool existed to give AI agents a persistent, evolving brain. SQLite knowledge base, YAML Playbooks for structured missions, Jedi Rank certification system, Scribe for continuous learning across sessions. 99.8% test pass rate. The same brain that drives the robotics platform also coordinates the project teams.


The three projects

1. RoboticsGR00T N1.7 + Hy3D pipeline on a 100W desktop supercomputer

Quadruped robotics infrastructure (Unitree Go2 + NVIDIA Isaac Sim 5.1 + ROS2 Jazzy + RL PPO locomotion) running on the GB10 Blackwell. Three-layer architecture: Brain (MonoCLI + LLM planning) → Interface (RobotAdapter, sim/real agnostic) → World (Isaac Sim + OmniGraph). Sim-to-real transfer validated on the physical Go2 (videos in robotics/media/). Sprint 18 ran in fully autonomous mode and proved a complete genetic loop: −18.4% time, −11.8% distance, −17.6% cycles after one round of knowledge distillation. Custom X1 telemetry dashboard for real-time pilot view. Hy3D → Isaac Sim asset pipeline. GR00T N1.7 inference validated on Unitree G1.

Read the LinkedIn article → · See the dashboard, the farm, the robot → · Driven by MonoCLI

2. Agentic ICBIOrchestrating multiple Claude agents for production-grade BI

Local-first business intelligence: CSV ingestion → DuckDB profiling → LLM-generated semantic layer (YAML) → natural-language-to-SQL with type-aware constraints → adaptive visualization (bar / line / scatter / heatmap / scorecard / orthographic globe). The SYNAPSE/ADN/cipher pattern compresses agent memory across sessions. 32 deliverables in 2 days via full agentic execution from a structured PRD with pre-defined workflows, three architectural pivots absorbed. 440K rows × 94 columns profiled in 3.7 seconds on local hardware. No cloud, no vendor lock-in.

Read the LinkedIn article → · Watch the demo (28 s) → · Same agentic stack as Robotics

3. Cyber SentinelLLM-first EDR: detect unknown threats by reasoning, not pattern matching

Defensive cybersecurity for solo operators and small teams. A reasoning-based endpoint detection and response engine that understands what it observes instead of matching signatures. Hardened WireGuard VPN module with strict sudoers scoping, Sentinel monitoring component, methodology for solo-operator threat modelling. Built because existing tooling assumes either a SOC team or a consumer-grade attitude — neither fits the solo professional operating from home with valuable IP on disk.

Read the LinkedIn article → · Built on the same MonoCLI reasoning loop as Robotics and ICBI


Why this repo exists

Three reasons:

  1. Public timestamping. Every commit is a dated proof of work. The agentic farm pattern documented in the September 2025 IEEE paper predated mainstream multi-agent frameworks (Agent Teams, etc.) by several months. See docs/MOULINSART_VS_CLAUDE_CODE.md for the chronological comparison.
  2. Reusable patterns. The architecture decisions — local-first, type-aware NL→SQL, three-layer robotics, sudoers-scoped VPN, LLM-reasoning EDR — are reusable. The articles document the why behind each.
  3. Recruitment-quality artefacts. Engineers and experts who land here can read working architecture, validated benchmarks, and honest postmortems — not marketing.

Repository layout

vision/
├── README.md                       # This file
├── LICENSE                         # MIT
├── robotics/
│   ├── README.md                   # Project overview
│   ├── docs/
│   │   ├── linkedin-article.md     # Public-facing article
│   │   ├── architecture.md         # 3-layer cognitive model
│   │   ├── hardware.md             # GB10 + Mac M3 setup
│   │   ├── methodology.md          # Sprint workflow
│   │   ├── results.md              # Locomotion + cognitive evolution metrics
│   │   └── roadmap.md              # Next phases
│   ├── research/
│   │   ├── vlm_benchmark.md        # Vision-language model comparison
│   │   └── compatibility.md        # Stack compatibility notes
│   └── media/                      # X1 dashboard, agentic farm, Go2 real-condition videos, Isaac Sim
├── agentic-icbi/
│   ├── README.md
│   ├── docs/
│   │   ├── linkedin-article.md
│   │   ├── patterns.md             # Technical patterns discovered
│   │   ├── synapse-adn-cipher.md   # Compressed memory system
│   │   └── timeline.md             # 6-day chronology
│   └── media/                      # Screenshots + demo video (333 KB)
└── cyber-sentinel/
    ├── README.md
    ├── METHODOLOGY.md              # Solo-operator threat model
    ├── SENTINEL.md                 # Reasoning-based monitoring
    ├── VPN_MODULE.md               # WireGuard hardening
    ├── links.md
    └── docs/
        └── linkedin-article.md

License

MIT. See LICENSE.

Contact

Minh-Tam Dang — Infinity Cloud Sàrl Geneva, Switzerland infinitycloud.ch


Topics & Keywords

Hardware & infrastructure: NVIDIA GB10 Blackwell · DGX Spark · 100 W desktop supercomputer · ARM aarch64 · 128 GB unified memory · Mac M3 Ultra · local-first · edge AI

Robotics: Unitree Go2 · Unitree G1 · Isaac Sim 5.1 · Isaac Lab 2.3 · ROS2 Jazzy · RL PPO · GR00T N1.7 · Hy3D · GEAR-SONIC · sim-to-real · cognitive robotics · assistive robotics

AI orchestration: Claude API · Anthropic · multi-agent · agentic farm · MonoCLI · YAML Playbooks · Jedi Rank · tmux orchestration · STRAT/DEV pairs · IEEE Sept 2025

Data & BI: DuckDB · NL→SQL · semantic layer · type-aware queries · Vue 3 · Observable Plot · SYNAPSE/ADN/cipher

Cybersecurity: LLM-first EDR · reasoning-based detection · WireGuard · sudoers hardening · solo-operator threat model · Sentinel

Origin: Switzerland · Geneva · Infinity Cloud Sàrl · indie developer · applied AI

About

Solo-built agentic AI ecosystem from Switzerland on a 100W NVIDIA GB10 Blackwell desktop supercomputer. Cognitive robotics (Unitree Go2 + Isaac Sim 5.1 + RL PPO + GR00T N1.7), local-first BI (DuckDB + LLM NL→SQL), and LLM-reasoning EDR cybersecurity. Showcase: articles, technical docs, demo videos.

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