Orca — 100% Local Private AI

Your hardware. Your data. Your intelligence.
No Anthropic. No OpenAI. No cloud. No telemetry.

Orca is a fully private AI system that runs entirely on your own hardware using Ollama. It includes a terminal CLI, a professional web UI, a multi-agent Ultra mode, long-term memory, fine-tuning tools, and a self-contained revenue/licensing layer — all 100% local.

Quick Install

curl -fsSL https://orca.systems/install.sh | bash

Or via pip:

pip install orca-ai
orca doctor --wizard

Requirements

• Python 3.11+
• Ollama running locally
• At least one Ollama model (e.g. ollama pull llama3.2:3b)

Getting Started

# First-run setup wizard
orca doctor --wizard

# Terminal chat
orca core chat

# Single-shot fast response
orca nano "explain recursion in 2 sentences"

# Web UI (opens in browser)
orca serve

# Multi-agent Ultra (Pro license required)
orca ultra run "design a REST API for a todo app"

Commands

Features

Core

• Full multi-turn chat with tool use (web search, code execution, file ops)
• 4-layer memory: short-term, long-term (ChromaDB), episodic, semantic
• Self-reflection and reasoning traces
• Session save/resume

Ultra (Pro)

• 6-agent parallel pipeline: researcher, coder, analyst, writer, critic, architect
• Automatic decomposition, parallel execution, synthesis, grading, self-healing
• Web UI pod visualization with live progress streaming

Fine-Tuning

• Synthetic data generation across 20+ domains
• QLoRA fine-tuning via Unsloth (local GPU)
• Cloud training via SSH (Vast.ai, Lambda, RunPod)
• GGUF export + Ollama registration

Web UI

• Professional black-and-white design
• CORE / ULTRA mode toggle
• SSE streaming with real-time pod visualization
• Memory recall sidebar
• License status indicator

Licensing

Orca ships in two tiers:

orca activate ORCA-PRO-XXXXX-XXXXX-XXXXX
orca license --buy   # show pricing

Privacy

• Zero telemetry
• No external API calls from the core system
• All data stored in ~/.orca/
• Inference via Ollama on localhost:11434

Documentation

orca.systems/docs