I Built an AI Agent That Can Write Its Own Tools When It Gets Stuck

Most AI agents are only as capable as the tool list they shipped with. They can browse, click, read files, maybe run some shell commands, maybe call a few prebuilt functions. But once they hit a task their built-in actions don’t cover, they usually stall out. At that point, you either have to add the missing functionality yourself, wire in some external skill system, or accept that the agent has reached the edge of its world. That always felt like a major limitation to me. So I built GrimmBot, an open source AI agent that can do something I find much more interesting: when it runs into a capability gap, it can generate a new Python tool for itself, test it, and add it to its own toolkit for future use. That’s the headline feature, but it isn’t the whole story. GrimmBot also runs in a sandboxed Debian Docker environment, uses Chromium as its default browser, has persistent memory, supports scheduling, and can watch webpages or screen regions for long periods without constantly burning A