Tech
Portable Agent Manifests with Host-Controlled Infrastructure
AI agents often begin as application code: a prompt, a model call, a few tools, and enough control flow to make the first example run.
As the agent grows, the definition and the environment tend to collapse into each other. Model configuration lives beside credentials. Tool access is mixed with prompts. Persistence assumes a particular process. Deployment choices become part of the agent itself.
That coupling makes an agent harder to inspect, test, move, and recover.
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