What's the best platform for deploying long-running AI agents?

Long-running AI agents require robust infrastructure capable of handling various tasks, including maintaining durable state, executing secure code, and integrating with databases, queues, and storage systems. The article evaluates different platforms for deploying such agents, highlighting Northflank as an ideal choice for comprehensive agent infrastructure, offering features like managed databases, APIs, and support for both CPU and GPU workloads. Northflank provides enterprise governance, self-service deployment options, and compliance with standards such as SOC 2 Type 2 and HIPAA, making it suitable for diverse users from enterprises to individual developers. Other platforms like LangSmith Deployment, Amazon Bedrock AgentCore Runtime, Trigger.dev, and Modal are also discussed for their specialized capabilities in managed orchestration, AWS-native runtimes, TypeScript tasks, and Python or GPU compute, respectively. The choice of platform depends on specific operational requirements, with Northflank being favored for its full-stack offerings and enterprise readiness.

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