Skip to main content

Orca — 100% local private AI. Your hardware. Your data.

Project description

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

Command Description
orca nano <prompt> Fast single-shot response
orca core chat Full interactive chat with memory + tools
orca core think <prompt> Deep single-shot reasoning
orca ultra run <task> Multi-agent orchestration
orca serve Launch the web UI
orca data seed --n 500 Generate synthetic training data
orca data curate Clean and score training data
orca train run Fine-tune via QLoRA
orca train cloud --ssh ... Train on a rented GPU
orca doctor System health check
orca doctor --wizard First-run setup wizard
orca upgrade Self-update from PyPI
orca activate <key> Activate a Pro license
orca license Show license status
orca status Live system dashboard

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:

Tier Price Features
Free $0 Core chat, doctor, status, data tools
Pro $49/mo + Ultra mode, cloud training, web UI
Enterprise $199/mo All features, 5 seats, priority support
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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orca_ai-0.1.1.tar.gz (102.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

orca_ai-0.1.1-py3-none-any.whl (131.9 kB view details)

Uploaded Python 3

File details

Details for the file orca_ai-0.1.1.tar.gz.

File metadata

  • Download URL: orca_ai-0.1.1.tar.gz
  • Upload date:
  • Size: 102.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for orca_ai-0.1.1.tar.gz
Algorithm Hash digest
SHA256 d608b3d589f2ab645dd849963bb395e2717b86c59aa8020000cd0515ecdd4f4e
MD5 a6278157978ab1a90cb558a5e022139c
BLAKE2b-256 1851c17de906089fdd1f4ade4dc816fa1700626d6fdccf62c599abfd91c62c3c

See more details on using hashes here.

File details

Details for the file orca_ai-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: orca_ai-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 131.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for orca_ai-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b83d039d6e8fa156e8b841809799340cc788e3e4b75a15fc9656b5b60a126676
MD5 b68cd7bb32ad8aa0b5b8d075c745f69d
BLAKE2b-256 176f8d76316724a83b1e5a2cc7b4ed1010ec229f00eb2587471ac10d1f21195f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page