Build a new AI agent on AWS and deploy it easily, OR wrap and deploy an agent you already have, using the Amazon Bedrock AgentCore harness. Explains what an "agent harness" is (the runtime scaffolding around a model - agent loop, tool execution, memory, identity, observability), then gives two fully-working, verified paths - (A) scaffold + ship a new agent with the AgentCore CLI (create/dev/deploy/invoke), and (B) deploy a prepared agent (Strands, LangGraph, or custom) via the SDK wrapper or a FastAPI + Docker + ECR container. Every import and command is verified against official AWS/Strands docs. Use when the goal is to create, wrap, or deploy an agent on AWS AgentCore. Triggers on agent harness, AWS harness, AgentCore, AgentCore CLI, agentcore create, agentcore deploy, deploy agent on AWS, bring your own agent, Bedrock AgentCore runtime, serverless agent.
How to install aws-harness?
hoodini/ai-agents-skills/aws-harness
$npx -y skills add hoodini/ai-agents-skills --skill aws-harnessInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/hoodini/ai-agents-skills" --skill "hoodini/ai-agents-skills/aws-harness"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/hoodini/ai-agents-skills" that are relevant to the current task. Run `npx skills add "https://github.com/hoodini/ai-agents-skills"` and select the relevant skills, then follow their instructions.
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