<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This toolkit offers a Command Line Interface (CLI) for deploying AI agents to Amazon Bedrock AgentCore, abstracting away complex infrastructure management. It targets developers aiming to rapidly productionize AI agents, providing built-in integrations for gateways and memory management. The primary benefit is enabling scalable, secure, and reliable agent deployments with minimal operational overhead.

How It Works

Bedrock AgentCore is a suite of composable, modular services designed for AI agent workloads. Key components include: AgentCore Runtime for secure, serverless agent execution with fast cold starts and session isolation; AgentCore Memory for context-aware recall; AgentCore Gateway to expose APIs as agent tools via a managed MCP server with semantic search; AgentCore Code Interpreter for secure code execution in sandboxed environments; and AgentCore Browser for cloud-based web interaction. This architecture supports popular open-source frameworks like LangGraph, CrewAI, and Strands, alongside any model or protocol, prioritizing enterprise-grade security and reliability.

Quick Start & Requirements

• Primary install command: uv pip install bedrock-agentcore-starter-toolkit or pip install bedrock-agentcore-starter-toolkit.
• Non-default prerequisites: Python, uv package manager (recommended).
• Resources: Links to Documentation, Samples, Discord, Boto3 Python SDK, and Runtime Python SDK are provided.

Highlighted Details

• Supports seamless integration with leading agent frameworks including LangGraph, CrewAI, and Strands Agents.
• Features a serverless runtime optimized for agentic workloads, boasting industry-leading extended runtime support, fast cold starts, and true session isolation.
• Includes an Import-Agent utility for straightforward migration of existing Amazon Bedrock Agents to AgentCore primitives like Memory and Gateway.
• The Gateway component offers composition and built-in semantic search, enabling agents to leverage hundreds or thousands of tools efficiently.
• Managed Code Interpreter and Browser tools provide secure, isolated execution environments for code and web interactions, respectively.

Maintenance & Community

• Community channels include Discord. Contribution guidelines are detailed in CONTRIBUTING.md. Security vulnerability reporting is managed via SECURITY.md.
• Extensive documentation and sample code are available for each service module.

Licensing & Compatibility

• License: Apache 2.0. This license is permissive and generally compatible with commercial use and integration into closed-source applications.

Limitations & Caveats

• The Amazon Bedrock AgentCore platform, including this toolkit, is currently in public preview status.