Aiden: The Open-Source Autonomous AI Engine That Runs Locally on Your PC

Artificial intelligence is slowly becoming another operating system. Instead of opening ten different apps to write code, browse the web, answer emails, automate tasks, and remember information, we’re moving toward a future where one AI agent does it all.

Most AI assistants still have one major problem.

They depend on the cloud.

Every request goes to someone else’s servers. Every conversation costs tokens. Every automation depends on an internet connection.

Then I came across Aiden.

It’s an open-source AI operating system that runs directly on your own machine.

No cloud connection needed. Telemetry isn't required. No subscription is necessary. Using local models incurs no API charges.

Just one AI agent controlling your computer.

Let’s take a look.

What is Aiden?

Think of Aiden as an AI assistant that doesn’t live inside your browser.

It lives on your computer.

Instead of only answering questions, it can:

• browse websites
• write and execute code
• manage files
• control your browser
• send emails
• automate repetitive work
• remember previous conversations
• trigger actions automatically

Unlike most AI tools, Aiden isn’t designed around a single chatbot window.

It’s designed more like an operating system for AI.

Why “Local First” Matters

Most AI applications work like this:

You
   │
   ▼
Cloud Server
   │
   ▼
LLM
   │
   ▼
Response

Every request leaves your computer.

That means:

• internet required
• latency
• API costs
• possible privacy concerns

Aiden flips that model.

You
   │
   ▼
Aiden
   │
   ├── Files
   ├── Browser
   ├── Terminal
   ├── Memory
   ├── Local Models (Ollama)
   └── Tools

Everything can stay on your machine.

If you pair it with Ollama, your conversations never have to leave your computer.

It Supports More Than Just Local Models

Even though Aiden is built around a local-first philosophy, you’re not locked into one provider.

It supports more than 14 LLM providers, allowing you to choose the model that best fits your workflow.

For example:

• Ollama
• Groq
• OpenAI-compatible APIs
• and many more

If you simply want to test it quickly, Groq is one of the easiest options because it’s fast and offers a free tier.

1,500+ Skills and 89+ Built-In Tools

This is where Aiden starts feeling more like an operating system than a chatbot.

Instead of asking an LLM to “figure everything out,” Aiden comes with specialized capabilities.

Examples include:

• file management
• shell commands
• browser automation
• memory
• coding
• searches
• task execution
• workflow automation

These tools let the AI interact with your computer instead of just generating text.

Installation Takes Less Than a Minute

Install it globally with npm.

npm install -g aiden-runtime

Start it.

aiden

That’s it.

The first launch opens an interactive setup wizard.

Choose an AI provider.

Paste your API key (or connect Ollama).

Start chatting.

Don’t Want to Install Anything?

Run it directly.

npx aiden-runtime

This is a great way to test the project before installing it permanently.

Automatic File Triggers

One of the coolest features is automatic triggers.

Imagine watching a folder.

Whenever a new file appears, the AI wakes up and starts working.

Enable daemon mode.

export AIDEN_DAEMON=1

Watch a folder.

aiden trigger add file \
--path ~/Documents/inbox \
--label "watch-inbox" \
--include "*.txt"

Launch Aiden.

aiden

Now simply drop a text file into that folder.

The AI immediately processes it.

No clicking. No manual prompts.

Just automation.

How the Architecture Works

Under the hood, Aiden runs a continuous agent loop.

A simplified view looks like this:

User
   │
   ▼
Agent Loop
   │
   ▼
Reasoning
   │
   ▼
Tool Selection
   │
   ▼
Verification
   │
   ▼
Execution
   │
   ▼
Recovery (if something fails)
   │
   ▼
Next Decision

Instead of failing after one mistake, Aiden is designed to recover from errors and continue solving the task.

That makes long-running automations much more reliable.

Built-In Memory

One of the hardest parts of building AI agents is memory.

Most chatbots forget everything once the conversation ends.

Aiden stores information locally.

It remembers important context.

It resumes interrupted tasks.

It can continue work after restarting.

This makes it behave more like a persistent assistant than a temporary chatbot session.

Sandboxed Execution

Giving AI access to your computer sounds risky.

That’s why Aiden includes sandboxing options.

It supports:

• filesystem allow/deny rules
• Docker-based execution
• browser observation
• verification before tool execution

Instead of giving unrestricted access, you decide what the agent can touch.

Updating is Simple

Update to the latest version.

npm install -g aiden-runtime@latest

Or simply use:

/update install

inside Aiden itself.

Removing Aiden

Linux and macOS:

npm uninstall -g aiden-runtime
rm -rf ~/.aiden

Windows PowerShell:

npm uninstall -g aiden-runtime
Remove-Item -Recurse -Force $env:LOCALAPPDATA\aiden

Recommended Terminal

For the best experience, use a modern terminal with true-color support.

Recommended fonts include:

• Cascadia Code
• JetBrains Mono
• Fira Code

While Aiden works in almost any terminal, newer emulators render its interface much more cleanly.

Why Projects Like Aiden Matter

For years, AI assistants have mostly been websites.

We’re now entering a different phase.

Instead of opening ChatGPT in a browser, developers are creating AI systems that live on the desktop, interact with local files, execute code, automate workflows, and remember context across sessions.

That shift makes AI feel less like a search engine and more like a personal operating system.

Aiden is still an early project and, by its own description, it’s “rough in spots.” But it already showcases what’s possible when AI is designed to work with your computer rather than through a browser tab.

Whether you run it entirely offline with Ollama or connect it to one of many supported model providers, Aiden offers a glimpse of where personal AI is heading: local-first, extensible, and capable of handling real work on your machine.

If you’ve been curious about self-hosted AI agents, this is one of the most interesting open-source projects to explore.