Strands Agents

Strands Agents: AWS's open-source SDK for production AI agents

Strands Agents is an open-source SDK for building autonomous AI agents in Python and TypeScript, released by AWS and built from production agent systems inside Amazon. It gives developers a model-driven approach to agents: define tools, a model, and a prompt, and the SDK handles the reasoning loop, tool execution, conversation management, and observability needed to run agents beyond the demo stage.

Unlike frameworks tied to a single provider, Strands is model-agnostic — it ships with native AWS Bedrock and AgentCore integration but works with Anthropic, OpenAI, Gemini, and other providers, so teams can swap backends without rewriting agent code. Multi-agent patterns like agent-as-tool and swarms are built in, as is Model Context Protocol (MCP) support for connecting agents to external tools and knowledge sources.

Key Features

• Python and TypeScript SDKs with structured output via Pydantic and Zod schemas
• Multi-agent orchestration patterns: agent-as-tool and swarm coordination
• Model-agnostic design with native Bedrock/AgentCore support plus Anthropic, OpenAI, and Gemini
• Model Context Protocol (MCP) integration for tools and knowledge base grounding
• Safety controls: hooks to intercept any step, steering handlers, human-approval interrupts, and guardrails
• Built-in tracing and observability with OpenTelemetry support

Ideal Use Case

Strands suits engineering teams taking agents from prototype to production — especially those already on AWS. Typical builds include research and triage agents, workflow automation with human-in-the-loop approval gates, and multi-agent systems where specialized agents hand off tasks. Because the SDK is Apache-2.0 licensed and provider-neutral, it also works for teams that want agent infrastructure without betting on a single model vendor.

How Strands Agents differentiates

Strands carries the credibility of being extracted from real production systems inside Amazon rather than designed on a whiteboard, and it has drawn over 6,500 GitHub stars under an Apache 2.0 license. Enterprises including Smartsheet, Swisscom, Eightcap, Zafran, Jit, and Tavily use it in production; one published case study reports investigation time dropping from 30 minutes to 45 seconds. Its emphasis on control — hooks, steering, interrupts, and guardrails at every step of the agent loop — targets the operational gaps that stall most agent deployments.

FAQ

Is Strands Agents free? Yes. The SDK is fully open source under the Apache 2.0 license. You pay only for the model inference and infrastructure you run agents on.

Which models and providers does it support? Strands is model-agnostic: native AWS Bedrock and AgentCore integration, plus support for Anthropic, OpenAI, Gemini, and other providers, with backend swaps requiring no agent code changes.

Does it support multi-agent systems? Yes. Built-in patterns include agent-as-tool, where agents call other agents, and swarm coordination for teams of agents working a shared task.

How does it handle safety and human oversight? A hook system intercepts and modifies behavior at any step, steering handlers guide decisions with feedback, interrupts pause for human approval before sensitive actions, and guardrails block unwanted operations — with OpenTelemetry tracing throughout.

tl;dr

Strands Agents is AWS's Apache-2.0 open-source SDK for production AI agents in Python and TypeScript, built from systems used inside Amazon. It combines model-agnostic provider support, multi-agent orchestration, MCP integration, and step-level safety controls, and has earned 6,500+ GitHub stars with production users like Smartsheet and Swisscom. Free to use.

Related

Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. Strands Agents is also tracked on Crunchbase.