Getting Started with Happycapy Complete Beginner Tutorial for 2026

Summary

Happycapy is an agent-native computer running entirely in your browser — no installation, no configuration, no coding required. In this tutorial you will create your first Desktop, spin up an AI agent, install a Skill, and run your first automated task, all in under 30 minutes. By the end you will have a working setup you can hand off tasks to before you go to sleep and check results over morning coffee.

What You'll Build

By following these six steps you will have a fully operational personal AI workspace. Concretely, that means:

• A named Desktop acting as your project's persistent file hub.
• A custom AI Agent with a defined persona and a chosen language model.
• At least one Skill installed to extend your agent's default capabilities.
• One automated task — a scheduled file-processing job — running without any manual trigger.

This setup mirrors what a professional Happycapy user runs on day one. Everything lives in the cloud sandbox, so you can close your laptop and the work continues.

Prerequisites

Before you start, confirm the following:

The Free tier gives you limited monthly usage across Haiku and MiniMax models — enough to complete every step here. If you want to follow along with Opus or Sonnet models, a Pro or Max subscription unlocks higher token allowances.

Step 1: Create Your Account and Tour the Interface

Head to https://happycapy.ai/signup and create your account with an email address. Once you confirm your email and log in, you land on the Home dashboard. Take 60 seconds to orient yourself before touching anything.

The left sidebar contains three primary sections:

• Desktops — your named project workspaces.
• Agents — the AI personas you configure and reuse.
• Skills — the capability plugins your agents can call.

The top bar shows your current credit balance and the model selector. Credits are consumed per token, and the cost varies by model: Opus burns the most, Haiku and MiniMax burn the least. For this tutorial, leave the model on the default (Haiku 4.5) to conserve credits.

Step 2: Create Your First Desktop

Desktops are named project workspaces with a persistent shared directory at ~/a0/workspace/<desktop-id>/. Every file your agent creates or reads lives here, and multiple sessions can run in parallel on the same files — which is what makes Happycapy fundamentally different from a chat window.

To create your first Desktop:

1. Click "+ New Desktop" in the left sidebar.
2. Name it something descriptive, for example my-first-project.
3. Click Create.

You now have an isolated file environment. Think of it as a project folder on a cloud computer that never turns off. The Desktops feature page covers advanced options like sharing a Desktop across multiple agents and setting up parallel workflows — bookmark that for after you finish this tutorial.

Expected result: Your new Desktop appears in the sidebar. Clicking it opens the workspace view with an empty file tree on the left and a session panel on the right.

Step 3: Build Your First AI Agent

An AI Agent in Happycapy is a customizable persona defined by five Markdown configuration files: SOUL, USER, IDENTITY, MEMORY, and AGENTS. You don't need to edit all five on day one — Happycapy ships sensible defaults for each.

Here is what each file controls:

To create your first agent:

1. Click "+ New Agent" in the sidebar.
2. Give it a name (e.g., Research Assistant).
3. Select a model — use Haiku 4.5 for this tutorial.
4. In the USER file, add one line describing yourself: I am a [your role] who needs help with [your main task type].
5. Leave all other files at their defaults.
6. Click Save Agent.

You can read more about agent configuration on the AI Agents feature page, which covers advanced persona stacking and multi-model routing.

Expected result: Your agent appears in the Agents list. Selecting it and opening a session shows a chat interface pre-loaded with your persona context.

Step 4: Install Your First Skill

Skills are lightweight plugins — typically kilobytes in size — that extend what your agent can do. Happycapy supports the MCP protocol and has more than 300,000 Skills available. Installing one takes about 20 seconds.

For this tutorial, install a file-management Skill so your agent can read, write, and organize files in your Desktop workspace:

1. Navigate to Skills in the sidebar.
2. Use the search bar to find File Manager (or any Skill relevant to your work).
3. Click Install.
4. On the confirmation screen, assign the Skill to your Research Assistant agent.
5. Click Confirm.

After installation, open a session with your agent and type:

List all files currently in my workspace.

Your agent will call the File Manager Skill, scan ~/a0/workspace/<desktop-id>/, and return the file list. If the workspace is empty, it will say so — that is the correct result at this stage.

Expected result: The agent responds with a file listing (or confirms the workspace is empty) without asking you for any additional configuration.

Step 5: Run Your First Automated Task

Now that your Desktop, agent, and Skill are in place, it's time to automate something. For this step you will give your agent a multi-part task using plain language — no code, no workflow builder.

In the session chat, type the following (adapt the topic to something relevant to you):

Create a file called weekly-summary.md in my workspace.
Add a section called "Key Findings" with three placeholder bullet points.
Then add a section called "Next Actions" with two placeholder items.
Save the file when done.

Watch the agent work through each instruction sequentially. It will:

1. Create the Markdown file in your Desktop's shared directory.
2. Write the requested structure.
3. Save and confirm completion.

This is a simple example, but the same pattern scales to complex workflows: summarizing a folder of PDFs, generating a weekly report from a CSV, or drafting and sending emails. The capability boundary is what a human can do with a computer — not a fixed menu of preset actions.

Expected result: A file named weekly-summary.md appears in your workspace file tree with the structure you described.

Step 6: Schedule a Recurring Automation

The final step moves you from on-demand tasks to true 24/7 operation. Happycapy lets you schedule sessions so your agent runs at a set time without you being present.

To schedule a daily task:

1. Open your Desktop and click "Schedule" in the session panel toolbar.
2. Set the frequency (e.g., Daily at 08:00 UTC).
3. In the task prompt field, enter the instruction you want the agent to run — for example:

Check the workspace for any new .csv files.
If found, summarize each file into a new .md report.
Name each report summary-<original-filename>.md.

4. Assign your Research Assistant agent.
5. Click Save Schedule.

From this point on, the agent will wake up at 08:00 UTC, check the workspace, and process any new files it finds — whether you are online or not.

Expected result: The schedule appears in your Desktop's schedule list with a "Next run" timestamp. You can disable or edit it at any time.

Verification — Confirming Everything Works

After completing all six steps, run this quick checklist:

☐ Your Desktop is visible in the sidebar and has a non-empty file tree (at least weekly-summary.md). ☐ Your agent is listed under Agents with a model assigned. ☐ The File Manager Skill (or your chosen Skill) shows "Installed" status under the agent. ☐ Opening a new session and typing list files returns a result without errors. ☐ The scheduled job shows a future "Next run" time in the Desktop schedule panel.

If all five boxes check out, your Happycapy workspace is fully operational.

Common Issues

Q: My agent says it can't access files in the workspace. A: Confirm the File Manager Skill is assigned to that specific agent, not just installed globally. Go to Skills → Installed → assign to agent.

Q: I ran out of credits mid-tutorial. A: Switch the session model to Haiku 4.5 or MiniMax M2.7 — both use the lowest credit rate. Free tier credits reset monthly.

Q: The scheduled job didn't run at the expected time. A: Check that the schedule is set to UTC, not your local timezone. Happycapy schedules run on UTC by default.

Q: My agent is repeating information I didn't ask for. A: Open the SOUL config file for your agent and add a line: Be concise. Answer only what is asked. Save and start a new session.

Q: I created a Desktop but can't find the files from my session. A: Files are written to ~/a0/workspace/<desktop-id>/. Make sure you opened the session from inside the correct Desktop, not from a standalone agent session.

Extending This Tutorial

Once the basics are solid, here are three natural next moves:

1. Run parallel workflows — create a second Desktop for a different project and run both agents simultaneously. Each Desktop has its own isolated filesystem, so there is no cross-contamination. See the Desktops feature page for parallel session setup.
2. Install a media Skill — Happycapy supports media generation models including Gemini and Seedream. Add an image-generation Skill to your agent and ask it to produce cover images alongside written reports.
3. Explore the full quickstart docs — the quickstart guide covers keyboard shortcuts, session history search, and how to export workspace files to your local machine.

By the Numbers

FAQ

Q: Do I need to know how to code to use Happycapy? A: No. Happycapy is designed for everyone — you describe what you need in plain language and the agent handles execution. Coding knowledge is optional and only needed if you want to write custom Skills.

Q: What is the difference between a Desktop and a session in Happycapy? A: A Desktop is a persistent project workspace with a shared filesystem that survives across sessions. A session is a single conversation run with an agent inside that Desktop. Multiple sessions can share the same Desktop files simultaneously.

Q: Can I use Happycapy on a free account for real work? A: Yes. The Free tier gives you limited monthly usage across lower-cost models (Haiku 4.5 and MiniMax M2.7). For daily professional use with higher token volumes or priority support, Pro and Max tiers are available.

Q: How does Happycapy differ from ChatGPT or other chat AIs? A: Happycapy runs a full cloud computer — not just a chat interface. It can take over the cloud environment, manage files, run scripts, schedule recurring jobs, and operate 24/7 without you being present. Conversational AIs respond to prompts; Happycapy executes multi-step work autonomously.

Q: How many agents can I create?

Q: Can I share a Desktop with a teammate?

Next Steps — Start Your Free Account

You now have everything you need to put Happycapy to work: a Desktop for persistent file storage, a configured AI agent, an installed Skill, and a scheduled automation running around the clock. The fastest way to make this real is to start with a task you do manually every week — a report, a summary, a research brief — and hand it to your agent today. Create your free Happycapy account at /signup and run your first automation before the end of the day.