This is not a language question. It is a culture question. Knowing which culture you belong to answers half of it. - Python is the research culture: notebooks, experiments, the ML ecosystem, 250+ frameworks. - TypeScript is the product culture: web teams shipping user-facing apps where the agent is a feature. Fewer frameworks, more product-shaped: better web defaults, cleaner deployment paths. - The Mastra vs Vercel AI SDK debate is the TypeScript shortlist worth reading. Both are serious tools with real tradeoffs. - Match the ecosystem to the team, then pick the best framework inside it. A Python ML team on a TypeScript framework will be miserable, and vice versa. - Within each language, run the same filters: maintenance pulse, real contributors, sane license, pluggable model layer. Want the agent without the homework? PrivateLLM deploy sets up your private LLM on AWS for $50 plus usage.