Use Case
aws-agentcore-langgraph is a powerful AI agent skill that extends your assistant with new capabilities. Deploy production LangGraph agents on AWS Bedrock AgentCore. Use for (1) multi-agent systems with orchestrator and specialist agent patterns, (2) building stateful agents with persistent cross-session memory, (3) connecting external tools via AgentCore Gateway (MCP, Lambda, APIs), (4) managing shared context across distributed agents, or (5) deploying complex agent ecosystems via CLI with production observability and scaling. This guide walks you through installing aws-agentcore-langgraph, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install aws-agentcore-langgraph: npx clawhub@latest --dir ~/.claude/skills install aws-agentcore-langgraph
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to developer & devops to trigger aws-agentcore-langgraph
Review the output and refine your prompt for better results
Combine aws-agentcore-langgraph with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing aws-agentcore-langgraph
Help me get started with aws-agentcore-langgraph
What can aws-agentcore-langgraph do for my developer & devops workflow?
Show me an example of using aws-agentcore-langgraph
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install aws-agentcore-langgraphOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install aws-agentcore-langgraphβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/aws-agentcore-langgraph/π‘Extract and place the folder at the path above, then restart your agent.