Kiro

Kiro Autonomous Agent is an AI agent service that runs on AWS and uses large language models (LLMs) to execute tasks and generate responses. According to its documentation, it works with your task descriptions, chat messages, code changes, and other context to carry out those tasks. The available docs are focused on infrastructure and data protection rather than end-user features, but it is clearly positioned as an autonomous agent rather than a simple chat interface.

The service is deployed on AWS infrastructure and, during its preview phase, stores all content (including tasks, chats, and code changes) in the US East (N. Virginia) region. It uses cross-region inference across multiple US regions to improve LLM performance and reliability, while keeping data storage in a single region. Setup details, interfaces (console vs API), and supported development environments are not described in the provided documentation, but it is clearly designed for organizations already operating on AWS.

Kiro emphasizes security and data governance. All communication to and from the agent and its downstream dependencies is encrypted in transit with TLS 1.2 or higher, and all stored data is encrypted at rest using AWS-owned keys managed by AWS Key Management Service (KMS). During preview, content is stored in us-east-1, while inference may run in us-east-1, us-west-2, or us-east-2, which is important if you have data residency requirements within the United States.

By default, Kiro may use your content—such as task descriptions, chat logs, and generated code—for service improvement, including debugging, operational fixes, and potentially model training. The documentation states there is a way to opt out of this data sharing, but the exact controls and configuration steps are not fully visible in the truncated content. If you have strict privacy or compliance requirements, you’ll want to review those options carefully before deploying. The docs reference the AWS shared responsibility model, so you remain responsible for securing your own workloads and configurations.

From what is available, Kiro clearly qualifies as an autonomous agent that maintains context across interactions and code changes, but the documentation here does not describe its higher-level capabilities (such as tool integrations, error handling, or workflow orchestration). It may not be a good fit if you’re looking for a consumer-facing assistant, a no-code automation platform, or if you’re not already invested in AWS. Pricing and commercial terms are not described in the provided material, so you should assume additional research or contacting AWS is required to understand costs.