AWS Open Source Blog

The security industry stands at an inflection point. In November 2024, the Open Cybersecurity Schema Framework (OCSF) joined the Linux Foundation, cementing its role as a vendor-neutral, open source standard for the global security community. Last summer at Black Hat 2025, we showed you how OCSF was powering AI-driven security operations. Then in December 2025, […]

AWS, Anthropic, Google, Microsoft, and OpenAI today announced a joint $12.5 million investment with the Linux Foundation to help open source projects address a surge in AI-enhanced and AI-generated security vulnerability reports. Both the Alpha Omega initiative and the Open Source Security Foundation (OpenSSF) will receive funding through the Linux Foundation grants. Software security is at […]

We’re introducing Strands Labs, a new Strands GitHub organization designed to give developers the ability to get hands-on with experimental, state-of-the-art approaches to agentic AI development. The Strands Agents SDK – available for both Python and TypeScript – has gained incredible traction in the developer community since we released it as open source in May […]

Cedar, an open source authorization policy language and SDK, has joined the Cloud Native Computing Foundation (CNCF) as a Sandbox project. CNCF provides a neutral home for early stage and developing open source projects. Cedar fulfills the need for a fast, safe, and analyzable authorization policy language in cloud-native environments by allowing developers to define, […]

Agentic AI systems are rapidly expanding beyond the digital world and into the physical, where AI agents perceive, reason, and act in real environments. As AI systems increasingly interact with the physical world through robotics, autonomous vehicles, and smart infrastructure, a fundamental question emerges: how do we build agents that leverage massive cloud compute for […]

AWS is excited to continue our support for Model Context Protocol (MCP) as it moves under the Linux Foundation.  This move enables us, our partners, and our customers to be more confident in the long-term success of the protocol which has become a standard  component of agentic architectures. By open sourcing MCP in 2024, Anthropic […]

Modern AI can write code, compose symphonies, and solve complex reasoning problems. So why is it still so hard to get them to reliably do what you want? Building reliable AI agents that consistently perform complex tasks remains challenging. While modern language models excel at reasoning and problem-solving, translating that capability into predictable workflows often […]

AWS is excited to announce the awslabs/ml-container-creator open source project to simplify the process of building and deploying custom machine learning models on Amazon SageMaker. Some customers face challenges when trying to leverage the bring-your-own-container (BYOC) paradigm for hosting their predictive models on Amazon SageMaker AI‘s managed serving infrastructure. There are myriad ways to deploy […]

We’re excited to share that the Swift AWS Lambda Runtime project has officially moved to the AWS Labs organization. You can now find it here: ? https://github.com/awslabs/swift-aws-lambda-runtime This move marks a new chapter for the project, while maintaining full continuity with its roots. A thank you to the Swift community The Swift AWS Lambda Runtime […]

Jupyter notebooks have become a popular tool for data scientists, researchers, educators and analysts who need to experiment with code, visualize data, and document their findings. Many users run Jupyter on their laptops. This creates limitations to collaborate with a distributed team because users cannot securely provide direct access to their local JupyterLab application over […]