AON

io.github.leo007-htunPublished by GitHub account leo007-htunv1.0.2Updated Oct 24, 2026

Self-hosted, uncensored AI agent: ask it tasks, search its long-term memory and your documents.

Overview

AI-generated overview

Exposes a self-hosted, local-model AI agent to MCP clients so an assistant can hand it tasks and search its memory and document library.

What you can do
  • Hand AON a task or question, answered with its own local model, memory, documents and tools, optionally continuing a chat
  • Search and save long-term memory facts about the user
  • Search and list the document library, and add text documents to it
  • Shell commands and file writes are refused over MCP because no one can approve them inside another app
When to use it
Useful when you already run AON on your own hardware and want Claude Desktop, Claude Code or Cursor to delegate tasks to it or query its private memory and documents without sending data to a cloud model.
Requirements
Local process started by the MCP client via the aon-agent package (uvx or pipx); Linux with Python 3.11 or newer; Ollama with an embedding model and a tool-capable chat model, or a vLLM chat backend; an AON home folder created with aon init. No API keys or environment variables are declared.
Before you install
The agent can run shell commands and write files when used through its own web UI, though these are refused over MCP; the web UI has no login, so keep it bound to localhost or behind an authenticating proxy; memory and document tools write data; the repository ships a data snapshot that a fresh install should delete before first run.

Installation

In SourceWeft

  1. Open AON in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[AON]

🛰️ AON : Self-Contained Obliterated AI

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

[Website] [Live] [YouTube demo] [PyPI] [MCP server] [Android APK]

[License: MIT] [Python]

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

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.

[!IMPORTANT] 🔒 Nothing leaves your box. Chat runs on vLLM or Ollama on your own GPU, embeddings on Ollama. No cloud LLM, no API bills, no provider filtering or logging.


⚡ Quick start

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

[!TIP] You need Ollama with nomic-embed-text and a chat model that supports tools: ollama pull nomic-embed-text && ollama pull qwen3:14b. Then try aon mcp to plug AON into Claude Desktop (how).

💡 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.
🛰️ AON☁️ Typical cloud AI chat
Runs on your own hardware✅❌
Your chats and files stay with you✅❌
Provider content filtering❌ none✅
Costyour GPU's powersubscription or per token
Long-term memory + your documents (RAG)✅✅
Runs commands on your server (with your approval)✅❌
Installs new models, MCP servers and skills from a link✅❌
Usable from Claude Desktop / Cursor as a tool (MCP)✅❌
One GPU serves your whole team✅❌

🔌 MCP server

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

[Claude Desktop] [Claude Code] [Cursor] [stdio]

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.

ToolWhat it doesAccess
ask_aonHand AON a task or question; it answers with its own model, memory, documents and tools. Pass chat to continue a conversation.✍️ write
search_memorySearch AON's long-term memory about you👀 read
rememberSave a fact to AON's memory✍️ write
search_documentsSearch your document library by meaning and exact words👀 read
list_documentsList the library👀 read
add_documentAdd a text document to the library✍️ write

[!NOTE] Shell commands and file writes are always refused over MCP: there is nobody to approve them inside another app.

Claude Desktop and Cursor
  • Claude Desktop: Settings → Developer → Edit Config (claude_desktop_config.json), then restart it.
  • Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project.
json
{  "mcpServers": {    "aon": { "command": "aon", "args": ["mcp"] }  }}
Claude Code

Claude Code:

bash
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

[Watch the AON demo on YouTube]

▶️ Click to watch on YouTube

✨ Features

🛠️ Agent with toolsRead, write and edit files, run shell commands, search and fetch the web, show maps. Commands and file writes ask for approval.
🧠 Long memoryFacts about you, searched by meaning and merged when they change; recall of older turns from this and other chats by meaning and exact strings; a rolling summary plus a numbered outline of everything you asked.
📚 Document library (RAG)Text, code, Markdown, HTML, Word and PDF, from the Documents panel or chat attachments. Hybrid search (SQLite FTS5 + vectors); answers cite the document.
📏 Context budgetEvery request is fitted to the model's window using the server's exact token count, so long chats never overflow.
🧩 SkillsAgent Skills (SKILL.md): import from a zip, GitHub URL or pasted text; draft one from a web page; run evals.
🔌 MCP, both waysConnects to stdio and HTTP MCP servers (browse the Glama directory in the Hub) and is an MCP server itself.
📎 AttachmentsFiles and photos in chat; images go to vision models.
🗺️ MapsPlaces and routes from OpenStreetMap (Nominatim, OSRM) on a MapLibre 3D globe.
👥 Multi-userChat on vLLM to serve several users at once; Cloudflare Access for sign-in.
📱 EverywhereWeb UI, Android app and an optional Telegram bot.

🏗️ Architecture

mermaid
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
Built with

[Python] [FastAPI] [Uvicorn] [httpx] [WebSockets] [MCP] [pypdf] [SQLite] [vLLM] [Ollama] [nomic-embed-text] [MapLibre] [Cloudflare] [pytest]

📱 Android app

[Download AON.apk]

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://192.168.1.50:8700 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.

[!WARNING] Access can be withdrawn at any time. The instance runs on private hardware with limited capacity: please do not use it for anything illegal, for automated or bulk traffic, or to process other people's personal data, and expect a short wait when several people are using it.

📦 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

bash
pipx install aon-agent            # or: pip install aon-agentaon 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.

From source (for development)
bash
git clone https://github.com/leo007-htun/AON.git && cd AONpython3 -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).

All config.toml keys
KeyMeaningExample
ollama_base_urlOllama's OpenAI-compatible endpoint (embeddings, and chat unless chat_base_url is set)"http://localhost:11434/v1"
default_modelModel used when the UI does not pick one"qwen3:14b"
workdirThe agent's workspace; chats and documents are stored here"~/.aon/workspace"
bindAddress and port of the web UI. AON has no login: keep it on 127.0.0.1 unless every device that can reach it is trusted"127.0.0.1:8700"
max_stepsTool calls allowed per request40
command_timeoutSeconds before a shell command is stopped120
always_askExtra tools that always need approval[]
embed_modelEmbedding model on Ollama"nomic-embed-text"
context_windowThe chat model's context length, in tokens16384
reply_reserveTokens kept free for thinking and the answer6144
history_tokensRecent chat turns sent word for word5000
cross_chat_recallAlso recall relevant turns from your other chatstrue
chat_base_urlOptional separate chat backend (vLLM)"http://gpu-box:8001/v1"
chat_modelThe model name served there; only this model goes to chat_base_url"aon"
chat_temperature, chat_top_p, chat_repetition_penaltySampling for the chat backend0.2, unset, 1.15
chat_visionThe chat backend model accepts imagestrue
telegram_bot_token, telegram_allowed_chat_idsOptional Telegram bot"", []

🚀 Running

bash
aon serve                         # web UI on the bind address from config.tomlaon serve --port 9000             # or override host/portaon --help
In the background
bash
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 logpkill -f '[a]on serve'            # stop it
As a systemd service (starts at boot, restarts on failure)
bash
sudo tee /etc/systemd/system/aon.service >/dev/null <<'EOF'[Unit]Description=AON agentAfter=network-online.targetWants=network-online.target
[Service]User=ubuntuEnvironment=AON_HOME=/home/ubuntu/.aonExecStart=/home/ubuntu/.local/bin/aon serveRestart=alwaysRestartSec=5
[Install]WantedBy=multi-user.targetEOFsudo systemctl daemon-reload && sudo systemctl enable --now aonjournalctl -u aon -f

Change User, AON_HOME and the aon path (which aon) to match your setup.

⚡ 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:

toml
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

bash
pip install -e ".[test]"pytest -q
Project layout
PathWhat it is
src/aon/cli.pyThe aon command: init, serve, mcp
src/aon/main.pyBuilds AON from config.toml (shared by serve and mcp)
src/aon/mcp_server.pyAON as an MCP server
src/aon/web.pyFastAPI app: REST API and the chat WebSocket
src/aon/engine.pyThe agent loop (tool calls, approval, loop guard)
src/aon/router.pyPlanner: answer directly, ask, or plan tool steps
src/aon/llm_client.py, backends.pyModel calls; Ollama or vLLM per model
src/aon/context.pyFitting requests into the context window
src/aon/recall.py, summary.pyChat recall, rolling summary, outline
src/aon/memory*.pyEpisodic memory, extraction, consolidation
src/aon/docs.pyDocument library (RAG)
src/aon/skills.py, skill_*.pySkills: store, import, authoring, evals
src/aon/mcp_client.py, mcp_tools.py, hub.pyMCP servers and the Glama hub
src/aon/tools/Built-in tools (files, shell, web, map)
src/aon/static/Web UI (index.html), icons, fonts, map library
src/aon/default_skills/Skills copied into a new home by aon init
tests/Test suite
specs/Design notes
vllm/vLLM server setup

💾 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).


If AON is useful to you, give it a ⭐. It helps others find it.

⬆ Back to top

Source: README.md at commit befe1ff

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestOct 14, 2026

Score

50% of the applicable checks met

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  • Reached in the last 30 days25 pts

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  • Auth declared10 pts

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  • Tools listed15 pts

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  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts