AI agents, ranging from chatbots to complex workflows, transform business operations through autonomous task execution and user interaction. The underlying infrastructure, known as agent runtimes, serves as the operational backbone for these agents, supporting various functions from execution to orchestration. In 2025, organizations face the challenge of selecting suitable runtimes, with options spanning open-source and enterprise solutions. A well-chosen runtime enhances deployment efficiency, reliability, and governance, alleviating the complexities of building foundational technology from scratch.
AI agent runtimes provide the infrastructure for AI agents to perceive, reason, and act, essentially serving as the "operating system" for these intelligent systems.
Choosing the right agent runtime in 2025 can be overwhelming due to numerous options, including open-source frameworks and enterprise-grade platforms with varying features.
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