Boto3

The AWS SDK for Python is Amazon's next-generation Python SDK for interacting with selected AWS services through native asynchronous APIs. It uses an async-first, modular architecture: service clients use Python's async/await syntax for non-blocking operations and concurrent I/O, supported clients can handle bidirectional event streams over HTTP/2, and each service is distributed as a separate package. Generated type annotations support editor completion and static analysis. The SDK is in Developer Preview, requires Python 3.12 or later, and is intended for evaluation, testing, and async prototypes rather than production workloads; the repository directs production users to Boto3, which has broader service coverage and general availability.

Amazon Bedrock AgentCore is an AWS service for deploying and operating AI agents in production. It provides a framework- and model-agnostic runtime for agents built with systems such as Strands Agents, CrewAI, LangGraph, LlamaIndex, Google ADK, or OpenAI Agents, with support for Python and TypeScript applications. Its capabilities include managed agent runtime hosting, sessions, memory, identity and access management, a gateway for turning APIs, Lambda functions, and services into MCP-compatible tools, built-in tools such as code execution and web search, and OpenTelemetry-based observability for tracing, debugging, and monitoring. The linked AWS Labs repository provides sample applications, tutorials, deployment templates, integrations, and blueprints covering these capabilities. The AgentCore CLI scaffolds projects, supports local development with hot reload and local invocation, and deploys agents to AWS with commands such as `agentcore deploy` and `agentcore invoke`. The samples repository is licensed under Apache 2.0.

Agent Plugins for AWS is an AWS Labs collection of plugins for AI coding agents, helping them architect, deploy, and operate on AWS. Supported agents include Claude Code, Codex, and Cursor. Each plugin can package agent skills—structured workflows and best-practice playbooks—alongside MCP servers that provide access to live documentation, pricing data, and other APIs; hooks that validate changes or trigger workflows; and references containing documentation and configuration defaults. The repository describes the plugins as reusable, versioned capabilities intended to reduce prompt context and standardize agent behavior. It warns that generative AI can make mistakes and recommends reviewing generated code, costs, security, and credentials. The repository also identifies Agent Toolkit for AWS as the successor for production use, while stating that this project continues to work and accept contributions.

An AWS service for building AI agents. AgentCore provides building blocks for developing agents with different underlying models and is offered alongside Amazon Bedrock as part of AWS's agent-development services.

Amazon AgentCore is a set of AWS building blocks for constructing AI agents with any model, whether used inside or outside Amazon Bedrock.