CrewAI OSS has launched the general availability of CrewAI OSS v1.0, a significant milestone in developing an open-source framework capable of orchestrating over 1.4 billion autonomous agents globally. This framework is designed to enhance the capabilities of large-language models (LLMs) by delegating complex tasks, thereby moving beyond simple automation to enable coordinated reasoning and memory among agents. The launch follows CrewAI's vision, backed by notable investors like Andrew Ng and Dharmesh Shah, to transition developers from basic prototypes to production-grade agentic workflows, emphasizing the role of Crews and Flows in creating systems that can think, act, and learn collaboratively. With features like stable APIs, native tracing, and improved integrations, CrewAI v1.0 aims to provide developers with the tools necessary to build complex, scalable, and observable agentic systems. This development has already seen significant adoption across major enterprises, including IBM and Microsoft, with CrewAI becoming integral to enterprise agentic stacks. As CrewAI continues to evolve, the company plans to introduce further features and improvements, supported by a global community of contributors and partners.