Strands Agents - TypeScript SDK

A model-driven approach to building AI agents in TypeScript/JavaScript.

Documentation ◆ Samples ◆ Python SDK ◆ Tools ◆ Agent Builder ◆ MCP Server

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Overview

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. The TypeScript SDK brings key features from the Python Strands framework to Node.js environments, enabling type-safe agent development for everything from simple assistants to complex workflows.

Key Features

• 🪶 Lightweight & Flexible: Simple agent loop that works seamlessly in Node.js and browser environments
• 🔒 Type-Safe Tools: Define tools easily using Zod schemas for robust input validation and type inference
• 🔌 Model Agnostic: First-class support for Amazon Bedrock and OpenAI, with extensible architecture for custom providers
• 🔗 Built-in MCP: Native support for Model Context Protocol (MCP) clients, enabling access to external tools and servers
• ⚡ Streaming Support: Real-time response streaming for better user experience
• 🎣 Extensible Hooks: Lifecycle hooks for monitoring and customizing agent behavior
• 💬 Conversation Management: Flexible strategies for managing conversation history and context windows

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Quick Start

Installation

Ensure you have Node.js 20+ installed, then:

npm install @strands-agents/sdk

Basic Usage

import { Agent } from '@strands-agents/sdk'

// Create agent (uses default Amazon Bedrock provider)
const agent = new Agent()

// Invoke
const result = await agent.invoke('What is the square root of 1764?')
console.log(result)

Note: For the default Amazon Bedrock model provider, you'll need AWS credentials configured and model access enabled for Claude 4.5 Sonnet in your region.

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Core Concepts

Agents

The Agent class is the central orchestrator that manages the interaction loop between users, models, and tools.

import { Agent } from '@strands-agents/sdk'

const agent = new Agent({
  systemPrompt: 'You are a helpful assistant.',
})

Model Providers

Switch between model providers easily:

Amazon Bedrock (Default)

import { Agent, BedrockModel } from '@strands-agents/sdk'

const model = new BedrockModel({
  region: 'us-east-1',
  modelId: 'anthropic.claude-3-5-sonnet-20240620-v1:0',
  maxTokens: 4096,
  temperature: 0.7
})

const agent = new Agent({ model })

OpenAI

import { Agent } from '@strands-agents/sdk'
import { OpenAIModel } from '@strands-agents/sdk/openai'

// Automatically uses process.env.OPENAI_API_KEY and defaults to gpt-4o
const model = new OpenAIModel()

const agent = new Agent({ model })

Streaming Responses

Access responses as they are generated:

const agent = new Agent()

console.log('Agent response stream:')
for await (const event of agent.stream('Tell me a story about a brave toaster.')) {
  console.log('[Event]', event.type)
}

Tools

Tools enable agents to interact with external systems and perform actions. Create type-safe tools using Zod schemas:

import { Agent, tool } from '@strands-agents/sdk'
import { z } from 'zod'

const weatherTool = tool({
  name: 'get_weather',
  description: 'Get the current weather for a specific location.',
  inputSchema: z.object({
    location: z.string().describe('The city and state, e.g., San Francisco, CA'),
  }),
  callback: (input) => {
    // input is fully typed based on the Zod schema
    return `The weather in ${input.location} is 72°F and sunny.`
  },
})

const agent = new Agent({
  tools: [weatherTool],
})

await agent.invoke('What is the weather in San Francisco?')

Vended Tools: The SDK includes optional pre-built tools:

• Notebook Tool: Manage text-based notebooks for persistent note-taking
• File Editor Tool: Perform file system operations (read, write, edit files)
• HTTP Request Tool: Make HTTP requests to external APIs

MCP Integration

Seamlessly integrate Model Context Protocol (MCP) servers:

import { Agent, McpClient } from "@strands-agents/sdk";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

// Create a client for a local MCP server
const documentationTools = new McpClient({
  transport: new StdioClientTransport({
    command: "uvx",
    args: ["awslabs.aws-documentation-mcp-server@latest"],
  }),
});

const agent = new Agent({
  systemPrompt: "You are a helpful assistant using MCP tools.",
  tools: [documentationTools], // Pass the MCP client directly as a tool source
});

await agent.invoke("Use a random tool from the MCP server.");

await documentationTools.disconnect();

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Documentation

For detailed guidance, tutorials, and concept overviews, please visit:

• Official Documentation: Comprehensive guides and tutorials
• API Reference: Complete API documentation
• Examples: Sample applications
• Contributing Guide: Development setup and guidelines

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Contributing ❤️

We welcome contributions! See our Contributing Guide for details on:

• Development setup and environment
• Testing and code quality standards
• Pull request process
• Code of Conduct
• Security issue reporting

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License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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Security

See CONTRIBUTING for more information on reporting security issues.

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⚠️ Preview Status

Strands Agents is currently in public preview. During this period:

• APIs may change as we refine the SDK
• We welcome feedback and contributions