Project Think: building the next generation of AI agents on Cloudflare

Project Think introduces a new set of primitives for building durable, long-running agents within the Agents SDK, providing features like durable execution, sub-agents, sandboxed code execution, and persistent sessions. The initiative builds on the idea that large language models (LLMs) can be more than mere developer tools by functioning as general-purpose assistants capable of managing tasks like calendar scheduling and data analysis. Traditional agents face challenges related to scalability and cost, as they require constant management and are typically tied to a single user or device. Project Think addresses these issues by using the actor model to give agents a persistent state and identity, enabling them to hibernate when idle and wake on demand. The platform facilitates seamless collaboration and scalability without the high costs associated with traditional virtual machines or containers, allowing for an efficient distribution of resources. By integrating various new capabilities, such as safe sandboxed code execution and an execution ladder, Project Think aims to redefine the economics of running agents at scale, offering a flexible and robust infrastructure that supports self-authored extensions and persistent memory. This approach enables agents to evolve from ephemeral tools into infrastructure-like entities, making them more reliable and scalable for various applications.