bedrock-agentcore
OfficialDeploy and manage AI agents at scale.
Software Engineering#deployment#scalability#ai agents#observability#infrastructure#bedrock#agentcore
Authoraws-samples
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the deployment, management, and operation of AI agents at scale by providing fully-managed services that handle infrastructure complexities.
Core Features & Use Cases
- Runtime: Securely deploy and run agents with automatic scaling and session isolation.
- Memory: Enable context-aware agents with short-term and long-term memory capabilities.
- Gateway: Securely manage and discover tools for agents, transforming APIs and services into agent-compatible tools.
- Identity: Manage secure agent identities and access permissions.
- Observability: Trace, debug, and monitor agent performance in production.
- Code Interpreter: Securely execute Python code in isolated sandbox environments.
- Browser: Provide cloud-based browser runtime for AI agents.
- Use Case: Deploy a football agent that can analyze game states, access player statistics, and make real-time tactical decisions during a match.
Quick Start
Deploy your agent using the AgentCore CLI by running the command agentcore deploy.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bedrock-agentcore Download link: https://github.com/aws-samples/sample-ai-possibilities/archive/main.zip#bedrock-agentcore Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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