Strands Agents Tools

Strands Agents is an open-source, model-agnostic AI agent SDK and toolkit maintained by AWS for Python and TypeScript. It runs the agent loop in the user's process without a hosted control plane and uses a model-driven architecture based on system prompts, tools, and a selected model. Its Strands harness provides a preconfigured agent with tools, a one-line agent loop, context management, sessions, and memory, while the Harness SDK lets developers assemble agents from their own models and tools. It supports providers including Amazon Bedrock, Anthropic, OpenAI, Gemini, and others; MCP connections; structured output; lifecycle controls; multi-agent patterns including delegation, swarms, graphs, handoffs, and workflows; conversation managers for sliding-window, summarizing, and combined histories; short-term, long-term, and graph memory; memory pointers that keep large tool outputs outside the active context; agent state for sharing pointers across multi-agent swarms; tool-call limits; asynchronous handles for slow MCP tools; streaming; guardrails; tracing; evaluations; hooks; telemetry; context management; and deployment support. Extensions include a command-line interface, sandboxed and virtual shells, evaluation utilities, research labs, samples, reusable agent instructions, lower-level SDKs for custom agent loops, and Strands Box, an open-source sandbox.

An evaluation toolkit for Strands AI agents that measures off-script behavior, violations of behavioral guardrails, and other incorrect behavior against test and live data. It is associated with Strands Agents, an open-source AI agent SDK for Python and TypeScript.

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.