AWS Launches Strands Labs to Boost Open-Source Agentic AI Innovation
Strands Labs includes three main experimental projects: Robots, Robots Sim, and AI Functions.
Amazon Web Services (AWS) has unveiled Strands Labs, a new open-source initiative designed to fast-track experimental agentic AI development for the global developer community.
Announced on February 23, the effort builds on the success of the existing Strands Agents SDK, which has been downloaded over 14 million times since its open-source debut in May 2025.
Strands Labs is hosted as a dedicated GitHub organisation, separate from the core SDK, to encourage experimentation and innovation without tying projects to the SDK’s production release cycle. AWS says this structure enables faster iteration, clearer project use cases and broader contributions from Amazon’s own internal teams as well as external developers.
At launch, Strands Labs includes three main experimental projects: Robots, Robots Sim, and AI Functions. Robots focuses on bridging AI agents with physical devices, enabling developers to connect AI capabilities to real-world robotics hardware.
Robots Sim offers a simulated 3D environment for prototyping agent behaviours without requiring physical robots. AI Functions lets developers define agent behaviour using natural language specifications that are validated and executed automatically, aiming to simplify complex code generation tasks.
The move reflects AWS’s broader push to make agentic AI development more accessible and collaborative, building on the Strands Agents SDK’s model-driven approach that enables scalable, flexible AI agent creation across Python and TypeScript environments.
Developers can begin experimenting with these tools today on the Strands Labs GitHub repository, with AWS encouraging feedback to continue evolving the ecosystem.
