Ditch the Subscription, Self-Host Your AI Companion

Let's be real: the AI companion space is exploding, but so are the monthly subscription fees. What if you could have a capable, conversational AI sidekick without the recurring bill and with full control over your data? That's exactly the itch that Airi, a new open-source project, aims to scratch.

Instead of paying a platform, you run it yourself. It’s a straightforward proposition for developers who value privacy, customization, and just the simple satisfaction of self-hosting a cool piece of tech.

What It Does

Airi is a self-hosted, open-source web application that provides an interface for interacting with Large Language Models (LLMs) in a conversational, "companion"-style format. You connect it to your own AI backend (like an OpenAI-compatible API or a local model running via Ollama), and it gives you a clean, chat-focused UI to talk to it. It's essentially your own private portal to an AI, without the middleman.

Why It's Cool

The cool factor here isn't about a dizzying array of untested features—it's about intentionality and control.

• Privacy-First: All your conversations stay on your infrastructure. There's no external company logging your chats for "training purposes" or anything else.
• Model Agnostic: You're not locked into one AI. Point it at GPT-4 via the OpenAI API, use a local Llama or Mistral model through Ollama, or connect it to any other service that offers a compatible endpoint. Swap models as you please.
• The Self-Hosted Satisfaction: There's a unique developer joy in getting a service running on your own hardware or VPS. It's yours to modify, break, fix, and scale as you see fit.
• Cost Control: After the initial setup, your only cost is the compute for the model itself (which can be $0 if you're running small models locally on your own machine). No surprise monthly subscriptions.

How to Try It

Getting started with Airi is a classic Docker-based setup, which keeps things nicely contained.

1. Clone the repo:

   git clone https://github.com/moeru-ai/airi.git
   cd airi
   

2. Configure it: You'll need to set up your environment variables, primarily to point it to your LLM backend (like an OPENAI_API_BASE and OPENAI_API_KEY for compatible services).
3. Run it: Use Docker Compose to spin it up.

   docker-compose up -d
   

4. Open your browser: Navigate to