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Goose: An Open Agent That Actually Runs Code

LLM-agnostic, extensible, and built to execute. A practical alternative for teams automating dev work without vendor lock-in.

aaif-goose/goose ↗

Goose is an AI agent you can run on your own machine. It takes a task, writes code to solve it, runs that code, checks if it worked, and fixes it if not. Unlike Copilot or Cursor, it works with any LLM (Claude, GPT, local models, whatever) and you can modify how it works. The payoff: you point it at repetitive dev work—refactoring, test writing, scaffold generation—and it handles the full loop. No more copying between tools. Open source means no feature creep from corporate roadmaps, just what builders actually need.

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Goose: agent that executes, edits, and tests with any LLM

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Open source agent that runs code, sees the results, and fixes bugs in the loop. LLM-agnostic and extensible. Solid pick if you're automating dev work or shipping agents and don't want to be locked into one model or closed ecosystem.

Goose is an open agent that actually runs code. Point it at a task, it writes the code, executes it, tests it, and fixes what breaks. Works with Claude, GPT, local models, whatever. No vendor lock-in. If you're automating dev work or shipping agents, worth the afternoon to try.

We've been testing Goose, an open source AI agent built for the full dev loop: write, execute, test, iterate. LLM-agnostic and extensible, which means you choose your model and can modify the agent's behavior to fit your workflow. For teams automating repetitive dev work or building agents at scale, this is a practical alternative to closed platforms.

Just discovered Goose, and it's doing something I haven't seen before. It's an open source AI agent that doesn't just suggest code, it actually executes, edits, and tests it. Works with any LLM you want to wire in. Why this matters: most agent tools lock you into their stack or their model choices. Goose is extensible by design, which means you're not fighting the framework when you want to customize it. I've been shipping solo automation tools, and the pattern is clear—the difference between 'nice to have' and 'actually saves me hours' is execution. Goose does that. If you're building agents or automating your own dev work, this one is worth a close look. https://github.com/aaif-goose/goose

built an agent that actually runs code instead of just talking about it. goose is open source, works with any llm, and lets you extend it without fighting the framework. that's the gap between toy and tool.