Auto Learning Agents, a self vs Wattfare

Self-host the free, open source Auto Learning Agents platform in minutes with Docker. Clone the repo, add your API keys, and run your own AI agents.

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About Auto Learning Agents, a self

Self-host the free, open source Auto Learning Agents platform in minutes with Docker. Clone the repo, add your API keys, and run your own AI agents. Install Docker and Docker Compose for your operating system if you do not already have them. Everything the platform needs runs inside the container, so Docker is the only requirement on your machine. Copy the example environment file and add keys for the models you want to use, such as Claude, OpenAI, or Gemini.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.