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The Agentic State Machine
goose launched a long time ago. Dog years have nothing on agent years. goose predates general agentic AI by a bit. The initial thought behind it all was: what happens if you give an LLM control over a shell session?
Turns out interesting things happen. The model writes a command, the command runs, the result goes back into the conversation, and the model decides what to do next. Our tool calling grew naturally out of that experiment, as did the agent loop that now sits at the heart of most coding agents.
Then tool calling got formalized. Then MCP happened. So did approvals, context…
The skinny
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