Originally published on AI Tech Connect.
What changed, and what you now have to decide Two years ago, choosing how to build an agent meant gluing together a model API, a vector store and a pile of your own loop code. By the middle of 2026 the picture has narrowed sharply. The agent-framework field has consolidated to roughly six major harnesses, each backed by a hyperscaler, a frontier lab, or a strong open-source community. That consolidation is good news: there are now defaults you can reach for. It is also a trap, because each default embeds a different philosophy about how an agent should be controlled, where its memory lives, and how much of your stack you hand to one vendor. The six that matter are the Claude Agent SDK from Anthropic, the OpenAI Agents SDK, AWS Strands Agents, LangGraph from the LangChain team, and the two…
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