AWS Open Source Blog

Open Responses Joins AAIF with AWS Support

The API format that a growing number of model providers use to call language models now has a vendor-neutral home. Open Responses has joined the Agentic AI Foundation (AAIF) as a project, bringing it under open governance alongside MCP and A2A. Based on the OpenAI Open Responses API, Open Responses is an open source specification […]

Introducing Strands Box: AI agent sandboxes powered by Dogwood

As developers increasingly delegate work to AI agents, these agents require broader access to systems and resources. They read files, run shell commands, execute generated code, and call APIs. That is what makes agents useful, but that same autonomy is the source of the biggest risks. Coding assistants, home-grown harnesses, and off-the-shelf agents increasingly run […]

Introducing the Dogwood Local Engine: temporal governance for agent actions

In August, we released Dogwood, an open source governance language for agents and their actions. Dogwood policies specify which actions an agent may take and under what conditions. A key feature of the language is support for temporal conditions, which let a policy refer to an agent’s past actions and their outcomes. A Dogwood policy […]

Unified Knowledge Graph RAG on AWS: GraphRAG and LightRAG on one stack

Picture a compliance analyst staring at a few thousand contracts, amendments, and internal memos, trying to answer one question that sounds straightforward: “Which of our obligations are exposed if this one milestone slips?” The answer isn’t written in any single document. It’s stitched across three — a master agreement that ties a payment to a […]

Introducing Dogwood: runtime verification for AI agents

Part of what makes AI agents so useful is their ability to interact with the external world by running tools. But these tool calls are also the source of the biggest risks when it comes to making agents safe to use. The best way to address these risks in a dependable and reliable manner is […]