5-minute tutorial

Install LibrAgent and complete your first agent chat. No dev setup — download the desktop app.

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What you will learn

1. Launch LibrAgent
2. Set an API key and default model in Settings
3. Start a session from an assistant card in Chat
4. Use App Wizard to prepare this PC (Python, Node, and similar)

Time: ~5 minutes
Need: LibrAgent app, network, a provider API key

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Step 1: Launch LibrAgent

Download the installer for your OS from GitHub Releases, install, and open the app.

The left sidebar shows Chat, Settings, and more. Settings is sidebar → Settings, not a top-right gear alone.

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Step 2: Connect a model (API key)

You need an API key to chat. Field details: Connecting models.

1. Open Settings from the sidebar.
2. Select the AI & Models tab.
3. Under Provider API Keys, open a provider card (Anthropic, OpenAI, Google Gemini, …).
4. Paste the API Key and click Save Changes.
5. Under Model Preferences, choose Default LLM.

There is no menu named 「LLM Provider」. Keys live under Provider API Keys; the default model is Default LLM.

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Step 3: Start your first session

1. Open Chat.
2. Click a card under Built-in Assistants (e.g. Libr Assistant, Coding Expert, App Wizard).
3. The draft title is New Session. Type a message and send.

Hi! Who are you? Give a short intro.

The agent typically thinks → (optionally) calls tools → returns a final answer.

There is no dedicated 「+ New Session」 button. Chat → pick an assistant starts a session.

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Step 4: Prepare your environment with App Wizard

There is no separate “install wizard” window. Talk to the App Wizard assistant in Chat.

Chat → Built-in Assistants → App Wizard

Example:

Check whether Python and Node are installed on this machine, and tell me how to install them if not.

Talk to App Wizard once before heavy coding or Extensions (MCP) use.
You can also pull the same guidance with @skill:setup-wizard. → Skills

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Done

Next	Doc
Settings details	Connecting models
Chat / sessions	First agent chat
Symptom fixes	Troubleshooting

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End-user guide. Contributor setup: getting-started.md.