Show HN: Forcefield: A fast, lightweight local-first AI agent harness

A developer released Forcefield, an open-source AI agent harness written entirely in Go, after spending 3 months building it to simplify running local AI models that were difficult to configure with harnesses such as Claude Code. Forcefield is optimized for low runtime overhead, fast startup, and local operation without an account or telemetry, and the developer is soliciting bug reports on GitHub plus feedback on the architecture and UX from users of local AI coding tools.

I spent the last 3 months building my own AI agent harness, fully written in Go. It's called Forcefield, and I primarily built it because I had trouble using local AI models with agent harnesses like Claude Code. I found the configuration needed to get local models working frustrating, and I wanted something simpler. The main thing I've been optimizing for is the runtime itself. It needs to have low overhead, fast startup, and a simple enough system that users can run it locally without an account or telemetry. I'd be interested in feedback from people who use local AI coding tools. If you try Forcefield and find any bugs, please open an issue on GitHub. I'm also interested in feedback on the architecture and overall UX. Comments URL: https://news.ycombinator.com/item?id=49755908 https://news.ycombinator.com/item?id=49755908 Points: 2 Comments: 0