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This release is a pre-release and may not be stable for production use.

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Personal AI, On Personal Devices.

Python License


NOVA AI demo reel

Documentation

Roadmap

Why NOVA AI?

Personal AI agents are exploding in popularity, but nearly all of them still route intelligence through cloud APIs. Your "personal" AI continues to depend on someone else's server. Local language models already handle most single-turn chat and reasoning queries, and their capability per watt keeps improving year over year. What has been missing is the software stack to make local-first personal AI practical.

NOVA AI is that stack. It is a framework for local-first personal AI, built around three core ideas: shared primitives for building on-device agents; evaluations that treat energy, FLOPs, latency, and dollar cost as first-class constraints alongside accuracy; and a learning loop that improves models using local trace data. The goal is simple: make it possible to build personal AI agents that run locally by default, calling the cloud only when truly necessary. NOVA AI aims to be both a research platform and a production foundation for local AI, in the spirit of PyTorch.

Installation & Quick Start

Pick your platform and start in seconds:

Platform Quick Launch Installation One-liner
Windows (1-Click) Double-click start.bat irm https://hamza35779.github.io/NOVA-AI/install.ps1 | iex or run install.bat
Linux · macOS ./start.sh curl -fsSL https://hamza35779.github.io/NOVA-AI/install.sh | bash
Docker docker compose -f deploy/docker/docker-compose.yml up Containerized setup with local Ollama engine
Desktop GUI Download .exe / .dmg / .AppImage Latest Release

Start Working with NOVA AI

# Interactive Chat
nova chat

# Hands-free Voice Conversation
nova voice --push-to-talk

# Smart Model Router (Auto-selects optimal model)
nova router status
nova router test "Analyze quantum algorithms"

# Active Memory Wiki
nova memory-wiki show profile
nova memory-wiki search "preferences"

# Interactive Canvas (Open HTML/SVG/Chart visualizations)
nova canvas list

# Presets & System Diagnostics
nova init --preset morning-digest-minimal
nova doctor

Prefix nova ... with uv run, or source .venv/bin/activate first.

Preset What it does
morning-digest-mac / morning-digest-linux / morning-digest-minimal Spoken daily briefing from email, calendar, health, news
deep-research Multi-hop research across indexed docs with citations
code-assistant Agent with code execution, file I/O, and shell access
scheduled-monitor Stateful agent on a schedule with memory
chat-simple Lightweight conversation, no tools

Example:

nova init --preset morning-digest-mac
nova connect gdrive          # one OAuth covers Gmail / Calendar / Tasks
nova digest --fresh          # generate and play your first briefing

Per-preset deep dives: morning digest · deep research · code assistant · scheduled monitor · chat simple · or the full quickstart guide.

Skills

Skills teach agents how to better use tools and improve their reasoning. Every skill is a tool — agents discover them from a catalog and invoke them on demand.

# Install skills from public sources
nova skill install hermes:arxiv
nova skill sync hermes --category research

# Use skills with any agent
nova ask "Use the code-explainer skill to explain this Python code: for i in range(5): print(i*2)"

# Optimize skills from your trace history
nova optimize skills --policy dspy

# Benchmark the impact
nova bench skills --max-samples 5 --seeds 42

Import from Hermes Agent (~150 skills), OpenClaw (~13,700 community skills), or any GitHub repo. Skills follow the agentskills.io open standard.

See the Skills User Guide and Skills Tutorial for details.

Built-in Agents

NOVA AI ships with eight built-in agents across three execution modes (on-demand, scheduled, continuous):

Agent Type What it does
morning_digest Scheduled Daily briefing from email, calendar, health, news — with TTS audio
deep_research On-demand Multi-hop research with citations across web and local docs
monitor_operative Continuous Long-horizon monitoring with memory, compression, and retrieval
orchestrator On-demand Multi-turn reasoning with automatic tool selection
native_react On-demand ReAct (Thought-Action-Observation) loop agent
operative Continuous Persistent autonomous agent with state management
native_openhands On-demand CodeAct — generates and executes Python code
simple On-demand Single-turn chat, no tools

See the User Guide and Tutorials for detailed setup instructions.

Full documentation — including Docker deployment, cloud engines, development setup, and tutorials — at hamza35779.github.io/NOVA-AI.

Community

Contributing

We welcome contributions! See the Contributing Guide for incentives, contribution types, and the PR process.

Quick start for contributors:

git clone https://github.com/Hamza35779/NOVA-AI.git
cd NOVA AI
uv sync --extra dev
uv run pre-commit install
uv run pytest tests/ -v

Browse the Roadmap for areas where help is needed. Comment "take" on any issue to get auto-assigned.

License

Apache 2.0

Release files for nova-ai-pro 1.1.1.dev47

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