AWS Open Source Blog

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 […]

Picture this: an AI agent is answering a question about a patient population. To do it, the agent calls a tool, and the tool queries a clinical database. IAM has already given the green light — the agent can invoke this tool. OAuth scopes checked out. The gateway logged the call. But nobody in that […]

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 […]

Pizza Bot is a community project rather than an AWS service, so there’s no AWS support or service-level agreement behind it; keeping Pizza Bot running, backed up, and up to date is yours. Give an agent a task actually worth delegating and you’ll be waiting a while. Ask it what needs your attention this morning […]

AI assistants can stand up an app or website that runs on AWS in minutes. Getting to a production-ready version you would put in front of real customers is still the hard part. Security, observability, type-safety, and resilience are non-negotiable for production. An assistant rarely gets all of that right in one pass, and hardening […]

If you’ve ever built an MCP server or agent skill, you know that packaging it means adapting for one client, re-writing for another, and repeating that for every tool your team uses. Agent Plugins 1.0.0 is an open source, vendor-neutral specification that gives AI agent extensions a common packaging format so you can package an […]

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 […]

If you are building AI agents, you have likely encountered a growing list of protocol acronyms—MCP, A2A, UTCP, AG-UI, and x402—that can feel overwhelming. The open source community has converged on several complementary protocols. An AI agent is only as useful as the systems it can reach: internal tools and data, the external APIs your […]

As organizations move to adopt agentic capabilities to accelerate their business objectives, they are challenged with enabling those capabilities within a security and governance framework that complies with enterprise requirements. Some organizations lean into the promise of serverless capabilities, as those fully managed services enable them to build fast and deliver customer value quickly. Amazon […]

Today, we are launching an open source Model Context Protocol (MCP) server that brings AI-powered dataset discovery to Registry of Open Data on AWS (RODA). As of today, RODA hosts over 1,100 high-value datasets from more than 400 organizations, spanning satellite imagery, life sciences, climate, geospatial, and more. Ask a research question in Kiro, Claude […]