← Back to Genesis

Local & Private

Runs entirely on your machine. No cloud dependency, no accounts required, no data leaves your computer. Your conversations, files, and work — yours alone.

Architecture

Everything stays on your computer

Genesis is designed from the ground up as a local-first application. There is no cloud component, no remote server, no data pipeline going anywhere.

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Your Computer

Genesis runs here — the AI engine, memory system, all tools, and your data. Everything.

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Local LLM

Ollama or llama.cpp running models on your GPU/CPU. No API calls to external services.

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Your Data

Files, memory, projects, emails — stored locally in project folders on your machine.

What This Means for You

Privacy isn't a feature — it's the foundation

Every aspect of Genesis is designed around one principle: your data never leaves your machine unless you explicitly send it somewhere.

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No Cloud Dependency

Genesis works completely offline. No internet connection required for core functionality. Your AI companion is always available, even without connectivity.

  • Fully functional without internet access
  • No subscription fees or account requirements
  • No service interruptions from remote outages
  • No vendor lock-in or platform dependency
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Data Stays Local

All of your data — conversations, files, memory, projects — lives in folders on your computer. You have full file-system access to everything.

    Memory files are plain Markdown on disk

  • Project folders are standard directories
  • Back up with any file-sync tool you choose
  • No proprietary database to decode
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Choose Your LLM Backend

Genesis connects to local models via Ollama or llama.cpp, or API providers of your choice. You decide which AI powers your experience.

  • Ollama — free, open-source, easy setup
  • llama.cpp — lightweight, broad hardware support
  • Cloud APIs — optional, when you want them
  • Switch backends at any time without losing data
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Compliance-Ready

For organizations that need to handle sensitive data, Genesis's local-only architecture makes compliance straightforward.

  • No data transmitted to third parties by default
  • GDPR, HIPAA, and SOC 2 friendly architecture
  • Auditable — every action logged locally
  • Full control over model selection and data flow
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Zero Running Costs

Running locally means zero marginal cost per request. No tokens to buy, no usage limits, no surprise bills at the end of the month.

  • Free open-source models (Qwen, Llama, Mistral, etc.)
  • No per-token pricing or rate limits
  • Hardware cost is one-time, not recurring
  • Scale usage from 1 request to 10,000 at no extra cost
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Full Transparency

Everything Genesis does is visible and auditable. You can review every memory file, project note, and action log at any time.

  • All memory stored as readable Markdown files
  • Project work logs record every decision
  • Error logs are plain text in your workspace
  • No hidden processes or background data collection
Comparison

Local vs. Cloud AI

Here's how Genesis compares to typical cloud-based AI services across the dimensions that matter most.

Aspect
Cloud AI Services
Genesis (Local)
Data Location
Sent to external servers
Stays on your computer
Internet Required
Always required
Not required for core features
Cost at Scale
$2,000+/month for heavy usage
$0 marginal cost
Data Ownership
Service provider controls data
You own everything
Customization
Limited to provider's options
Choose any model, any config
Availability
Subject to outages and rate limits
Always available, no limits
Hardware & Models

What runs the AI

Genesis connects to local LLM backends that run on consumer hardware. You don't need a data center — a modern gaming PC with an RTX GPU can deliver impressive results.

Supported Backends

  • Ollama — Free, open-source, easiest setup. Supports dozens of models including Qwen, Llama, Mistral, and more. Runs on Windows.
  • llama.cpp — Lightweight inference engine with broad hardware support. Works on systems without dedicated GPUs.
  • API Providers — Optional cloud APIs for when you need larger models or extra compute power.

Hardware Tiers

  • Entry Level — 16GB RAM, integrated GPU. Runs 7B–14B parameter models at usable speed.
  • Mid Range — 32GB RAM + RTX 4060/4070. Runs 14B–32B models with excellent quality and speed.
  • High End — 64GB+ RAM + RTX 4090. Runs 70B+ models for state-of-the-art local performance.

Key insight: The gap between local and cloud model quality has narrowed dramatically in 2026. Models like Qwen 2.5 32B (83.2% MMLU) and Phi-4 14B deliver 70–85% of frontier model quality at zero marginal cost, running entirely on hardware you already own.