The DropJune 18, 2026via AWS Machine Learning Blog
Amazon Bedrock AgentCore harness is now generally available: Go from idea to production-grade agent in minutes
Why it matters
Amazon is dramatically lowering the barrier to agent deployment with a managed runtime that eliminates orchestration boilerplate. For enterprises already on AWS, this becomes the path-of-least-resistance for moving from prototype to production.
Key signals
- Amazon Bedrock AgentCore now generally available
- Two API calls required: CreateHarness and InvokeHarness
- Agents run in isolated environment with filesystem and shell access
- Context persistence across sessions and model provider switching
- Real-time step streaming and automatic CloudWatch tracing
- No orchestration code or container build required
- Supports tool calling via gateway/MCP and web browsing
- AWS-curated skill catalog integration
The hook
Two API calls. That's all it takes to deploy a production agent on AWS Bedrock AgentCore—now generally available.
Today, Amazon Bedrock AgentCore harness is generally available. Two API calls (CreateHarness to define an agent, and InvokeHarness to run it), and you have an agent running in seconds. The agent runs in its own isolated environment with a filesystem and shell, so it can read files, run commands, and write code safely. It remembers users and conversations across sessions, picks up skills you point it at (including the AWS-curated catalog), browses the web, calls your tools through gateway or MCP, and switches model providers mid-session without losing context. Every step streams back to you in real time and is automatically traced to Amazon CloudWatch. You don’t need to write orchestration code or build a container, unless you want to.