Get started

The Strands Agents SDK empowers developers to quickly build, manage, evaluate and deploy AI-powered agents. These quick start guides get you set up and running a simple agent in less than 20 minutes.

Python QuickstartCreate your first Python Strands agent with full feature access!

TypeScript QuickstartCreate your first TypeScript Strands agent!

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A library, not a platform

Strands runs inside your own process. Creating an agent is constructing an object in Python or Node.js: there is no hosted control plane, scheduler, or database to stand up first. Any model provider works. Amazon Bedrock is the default; switching to Anthropic, OpenAI, Google, or Ollama means installing that provider’s package and changing one line, so an AWS account is only required if you keep the default. Adding an agent to an existing FastAPI, Express, or Next.js app is a dependency and a few lines of code, not new infrastructure.

Language support

Strands Agents SDK is available in both Python and TypeScript.

Feature availability

The table below compares feature availability between the Python and TypeScript SDKs.

Category	Feature	Python	TypeScript
Core	Agent creation and invocation	✅	✅
	Streaming responses	✅	✅
	Structured output	✅	✅
Model providers	Amazon Bedrock	✅	✅
	OpenAI	✅	✅
	OpenAI Responses API	✅	✅
	Anthropic	✅	✅
	Google	✅	✅
	Ollama	✅	❌
	LiteLLM	✅	❌
	Custom providers	✅	✅
	Additional providers	5+	1+
Tools	Custom function tools	✅	✅
	MCP (Model Context Protocol)	✅	✅
	Built-in tools	30+ via community package	4 built-in
Conversation	Null manager	✅	✅
	Sliding window manager	✅	✅
	Summarizing manager	✅	✅
Hooks	Lifecycle hooks	✅	✅
	Custom hook providers	✅	✅
Multi-agent	Swarms	✅	✅
	Graphs	✅	✅
	Workflows	✅	✅
	Agents as tools	✅	✅
	Agent-to-Agent (A2A)	✅	✅
Session management	File, S3, repository managers	✅	✅
Observability	OpenTelemetry integration	✅	✅
Steering	Agent steering	✅	✅
Experimental	Bidirectional streaming	✅	❌

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