AWS Open Source Blog
Introducing Infinity: a runtime for extreme agent concurrency
Agents spend much of their time waiting on tools. A coding agent may start a build that runs for twenty minutes, a triage agent may wait hours for the next pull request on a repository, and an assistant may wait until the next morning for an approval. Most agent harnesses run the agent loop as […]
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 […]
Introducing TOLAP: object-level access control for AI agent tools
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 […]
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 Pizza Bot, an open source inbox for AI agents that work in the background
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 […]
Build full-stack AWS applications in minutes with AI-powered scaffolding
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 […]
AWS Supports Agent Plugins: An Open Standard for Portable Agent Extensions
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 […]
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 […]









