🛰️ AON : Self-Contained Obliterated AI

Your own uncensored AI agent. One GPU. Zero cloud. Zero filters.

⚡ Quick start · 💡 Why AON · 🔌 MCP server · 📱 Android · 🔑 Live instance · 🎬 Demo

💬 Chat	🗺️ Maps

AON is a self-hosted AI agent that runs on your own hardware with local models. It answers questions, runs tools (files, shell, web search, maps), remembers you across chats, reads your documents, and extends itself with new models, skills and MCP servers. Use it from the web, the Android app, Telegram, or from Claude Desktop, Claude Code and Cursor through its MCP server.

⚡ Quick start

pipx install aon-agent        # 1. install
aon init                      # 2. create ~/.aon with a starter config
aon serve                     # 3. open http://127.0.0.1:8700

💡 Why AON

Memory and RAG are table stakes now. What AON adds:

• 🔓 Obliterated and fully yours. An uncensored ("obliterated") 27B model on a single consumer GPU (RTX 4090). Your chats, memory and documents never leave the box.
• 🧬 It extends itself. Paste a link and AON works out what it is: a GGUF model it can pull (it checks the VRAM budget and tool support first), an MCP server it can connect, a skill repo it can import, or docs it can learn from. It can draft a new skill from any web page and test it.
• 🔌 Plugs into the AI apps you already use. aon mcp turns AON into an MCP server for Claude Desktop, Claude Code and Cursor, so they can hand it tasks and search its memory and your documents.
• 👥 A private AI for your whole crew, from one GPU. vLLM serves several people at once, behind Cloudflare Access email PIN, with every user approved by hand.
• 🛡️ Honest by design. Shell commands and file writes wait for your approval. A reply that claims "done" without a tool having run is not trusted. Secrets are never saved to memory.
• 🗺️ Grounded, not guessed. Places and routes come from OpenStreetMap routing on a 3D globe; distances and times are computed, not written by the model.

🔌 MCP server

Use AON inside Claude Desktop, Claude Code, Cursor and any other MCP client.

aon mcp runs AON as a Model Context Protocol server. It ships in the aon-agent package (source); your MCP client starts it for you.

{
  "mcpServers": {
    "aon": { "command": "aon", "args": ["mcp"] }
  }
}

claude mcp add aon -- aon mcp

Add "--home", "/path/to/home" to args for a different home folder. If the client can't find aon, use the full path from which aon.

🎬 Demo

✨ Features

🏗️ Architecture

flowchart TB
    subgraph clients["Clients"]
        direction LR
        W["🌐 Web UI"] ~~~ A["📱 Android"] ~~~ T["💬 Telegram"] ~~~ M["🤖 Claude / Cursor"]
    end
    S["🛰️ AON server · FastAPI + agent loop"]
    subgraph backends["Behind AON"]
        direction LR
        TL["🛠️ Tools"] ~~~ DB[("🧠 Memory + docs")] ~~~ V["⚡ vLLM"] ~~~ O["🦙 Ollama"] ~~~ X["🔌 MCP servers"]
    end
    clients -- "HTTPS via Cloudflare Access, or MCP over stdio" --> S
    S --> backends

📱 Android app

260 KB, Android 7.0 or newer.

1. Open the link on your phone and download the APK.
2. Allow installs from your browser when Android asks (Install unknown apps), then tap Install.
3. Open AON and sign in with your approved email address (see Try the live instance).

The app opens https://aon.vulkron.uk by default. To use your own server, press Back in the app and choose Change server, for example http://192.168.1.84:8700 on your home network. The APK is signed (APK Signature Scheme v2, certificate CN=AON, O=Vulkron, C=GB); its SHA-256 is on the release page.

🔑 Try the live instance

Access to https://aon.vulkron.uk is by approval only:

1. 📝 Request access. Open an issue titled Access request, saying who you are and what you would like to use AON for. Please do not post your email address in the issue; the maintainer will reply and tell you how to send it.
2. ⏳ Wait for approval. Requests are reviewed by hand. Once yours is approved, your email address is added to the allowed list and the issue is closed with a note.
3. ✅ Sign in. Open https://aon.vulkron.uk, enter the approved email address, and type the one-time PIN that is emailed to you. The PIN sign-in is handled by Cloudflare Access.

📦 Installation

Requirements

• Linux (runs on Ubuntu), Python 3.11 or newer.
• Ollama with an embedding model (ollama pull nomic-embed-text) and a chat model with tool support (for example ollama pull qwen3:14b), unless chat runs on vLLM.
• Optional: a GPU server running vLLM (vllm/).
• Optional: Node.js 20 for npx-based MCP servers.

Install

pipx install aon-agent            # or: pip install aon-agent
aon init                          # --ollama URL --model NAME --bind HOST:PORT --home DIR

Everything AON keeps (config, chats, memory, documents, skills) lives in its home folder: --home DIR, else $AON_HOME, else ~/.aon.

git clone https://github.com/leo007-htun/AON.git && cd AON
python3 -m venv venv && venv/bin/pip install -e ".[test]"
venv/bin/aon init

⚙️ Configuration

aon init writes config.toml into the home folder; edit it to taste. Keep context_window equal to vLLM's --max-model-len (or the Ollama model's context).

🚀 Running

aon serve                         # web UI on the bind address from config.toml
aon serve --port 9000             # or override host/port
aon --help

setsid nohup aon serve >> ~/.aon/aon.log 2>&1 < /dev/null &
pgrep -af '[a]on serve'           # is it running?
tail -f ~/.aon/aon.log            # its log
pkill -f '[a]on serve'            # stop it

sudo tee /etc/systemd/system/aon.service >/dev/null <<'EOF'
[Unit]
Description=AON agent
After=network-online.target
Wants=network-online.target

[Service]
User=ubuntu
Environment=AON_HOME=/home/ubuntu/.aon
ExecStart=/home/ubuntu/.local/bin/aon serve
Restart=always
RestartSec=5

[Install]
WantedBy=multi-user.target
EOF
sudo systemctl daemon-reload && sudo systemctl enable --now aon
journalctl -u aon -f

⚡ Multi-user with vLLM

Ollama answers one request at a time for some models. To serve several users, run the chat model on vLLM and point AON at it:

chat_base_url = "http://<gpu-box>:8001/v1"
chat_model = "aon"
default_model = "aon"
context_window = 16384

vllm/ has the systemd unit, the chat template and the exact package versions used. Measured on one RTX 4090 (24 GB) with a 27B 4-bit model: 16K context serves 2–3 full-length requests at once and the rest queue; 8K serves 4.

🌐 Remote access

AON has no login of its own. Keep bind on your LAN and, to reach it from outside, put it behind an authenticating proxy, for example a Cloudflare Tunnel with Cloudflare Access (email PIN). Geolocation in the map needs HTTPS.

🧪 Development

pip install -e ".[test]"
pytest -q

💾 Data

AON keeps its data in its home folder: workspace/app.db (chats), workspace/docs.db (document library), memory/episodes.db (memory) and workspace/uploads/ (attachments). This repository includes a snapshot of them from 2026-10-14. A fresh install creates empty ones; to start clean, delete them before the first run. The Glama API key is kept in .glama_key, which is git-ignored.

🤝 Contributing

Issues and pull requests are welcome. For anything bigger than a fix, please open an issue first to talk it through. Run pytest -q before sending a pull request.

📄 License

AON is released under the MIT License. © 2026 Sithu Htun (@leo007-htun).

Bundled third-party files keep their own licenses, included next to them: CybercoreCSS (MIT), MapLibre GL JS (BSD-3-Clause), highlight.js (BSD-3-Clause), and the Exo 2, JetBrains Mono, Orbitron and Rajdhani fonts (SIL Open Font License).