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Local-first AI agent with memory, knowledge graph, tools, web dashboard, and Telegram (OpenYF AI).

Project description

ARIA (Bringing AGI to the Public)

What this is: ARIA is an experimental, local-first AI agent from OpenYF AI. It combines chat with persistent memory, a living knowledge graph, governed tools, an optional web dashboard, and Telegram integration. Sources and updates live at github.com/openyfai/aria.

Who it's for: people who want more than a raw chat completion — operators who configure providers, approvals, identity, and (optionally) 24/7 proactive behavior behind clear safety defaults.

We are building in public; you can adopt it as-is, customize skills, or follow the codebase as the project evolves.


In one sentence: install once, run aria setup or open the dashboard with aria web, optionally pair Telegram, and chat.

Quick start (PyPI — recommended)

You need Python 3.11 or newer (latest stable 3.x is recommended).

pip install "openyfai-aria[full]"

Option A — browser setup (default):

aria web

Open http://127.0.0.1:8000, complete provider and safety settings in the UI, then use Chat (and Graph / Operator / Settings as you like).

Option B — terminal setup only:

aria setup

Then run aria for the terminal agent or aria web for the dashboard.

Optional: background daemon (non-Windows / see notes in CLI): aria start

PyPI wheels include a pre-built dashboard when published through the project’s release workflow; you should not need Node or npm for a normal install.

Try a first prompt such as: Analyze this repo and build a knowledge graph of the architecture.

More detail: docs/quickstart.md.

Developing from source (contributors)

Clone the repo and use an editable install when you are changing Python or the Next.js UI:

git clone https://github.com/openyfai/aria.git && cd aria
pip install -e ".[full,dev]"

If you change the web frontend, build it once so aria web can serve aria-ui/out from your checkout:

cd aria-ui && npm install && npm run build && cd ..

Release builds (CI) copy this output into aria/web_dist/ for PyPI wheels — see CONTRIBUTING.md.

Why ARIA

  • Local-first memory and state backed by SQLite.
  • A visible graph of what the agent believes.
  • Provider and model choice from the setup wizard or aria setup.
  • Operator controls for approvals, usage, Telegram pairing, and remote access.
  • Markdown skills that let contributors extend behavior without editing Python.

More ways to run

Path When to use
Web UI (aria web) Default: finish setup in the browser.
Terminal agent (aria after setup) Keyboard-first use.
CLI setup only (aria setup) You prefer not to use the web wizard once.
Docker Deploy to a server or share on a LAN; needs .env and a web API key. See docs/quickstart.md.

Requirements

  • Python >=3.11 (matches package metadata on PyPI).
  • Node 20+ — only if you develop or rebuild aria-ui/ from source (not required for standard pip install wheels).
  • Docker — optional.

Safe defaults

  • Tool approvals are on.
  • Terminal execution is off.
  • Direct code writes are off.
  • Background actions are off.
  • Remote web binds require ARIA_WEB_API_KEY.
  • Telegram is deny-by-default until paired from Operator.

Read SECURITY.md before exposing ARIA beyond localhost.

Power user / troubleshooting

If chat or setup fails after you have saved provider keys, see docs/quickstart.md for aria doctor, aria doctor --ping, and related commands. You do not need these for a first successful run.

Provider support

Gemini, OpenAI, Anthropic, OpenRouter, DeepSeek, Mistral, Groq, Ollama, and local OpenAI-compatible endpoints. Settings come from the wizard, aria setup, data/ runtime files, or environment variables.

Skills

Add a Markdown file under skills/, restart ARIA, and the agent can use that workflow. Start with skills/repo_researcher.md or skills/README.md.

Repository guide

  • Core loop: aria/core/cognitive_loop.py
  • Providers: aria/llm/
  • Web backend: scripts/web_server.py
  • CLI: scripts/cli.py
  • Telegram: scripts/telegram_bot.py
  • Web UI: aria-ui/src/
  • Packaged static UI (release builds): aria/web_dist/
  • Skills: skills/

Development

python -m pytest tests
ruff check .
cd aria-ui && npm install && npm run lint && npm run build

Project docs

License

Apache-2.0. See LICENSE.

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