I Built a Self-Hosted AI Agent That Runs on a Raspberry Pi

Most AI coding tools live in someone else's cloud. Cursor, Devin, GitHub Copilot: useful, but your context and conversations flow through a third-party server. For some teams that's fine. For others it's a non-starter. I wanted an AI agent engine I could deploy on my own hardware, connect to whatever model I wanted, and extend without waiting for a vendor to ship the feature. So I built profClaw. The problem with the current landscape There are roughly two categories of AI dev tools right now: Cloud-only agents (Cursor, Devin, Claude Code web, Copilot Chat): polished and easy to start, but you're locked into their infra, their model selection, and their pricing. No offline mode, no control over what gets logged. Single-purpose CLIs (Aider, shell wrappers around OpenAI): simpler and self-hosted, but narrow. They do one thing, usually code editing, and don't compose well with the rest of your workflow. profClaw sits in a different spot: a self-hosted, multi-provider agent engine with a p