Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content
Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content
Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content
Strands Agents

Strands Agents

A model-driven approach to building AI agents in just a few lines of code.

GitHub commit activityGitHub open issuesGitHub open pull requestsLicensePyPI versionnpm versionPython versionsStrands Discord

DocumentationSamplesToolsAgent BuilderMCP Server

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local development to production deployment, Strands Agents scales with your needs.

This monorepo contains the Python SDK, TypeScript SDK, documentation site, and supporting packages:

DirectoryDescription
strands-py/Python SDK: agent loop, model providers, tools (PyPI · releases)
strands-ts/TypeScript SDK: agent loop, model providers, tools (npm · releases)
strandly/Developer CLI for local builds and workspace tooling
site/Source for the strandsagents.com documentation site (Astro/Starlight)
team/Governance and cross-SDK process docs (tenets, decisions, PR & compatibility guidelines, and designs/ proposals)

Why Strands

Build an agent harness. Control it end-to-end.

  • Build your way. Any model, any cloud. Context management, execution limits, and observability built in before you write a line of config. Swap backends when you scale; your code stays the same.
  • Model agnostic. First-class support for Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus many more providers and custom ones.
  • Stay in control. The agent loop traces every decision by default. Hooks let you intercept any step to log it, validate it, or redirect it.
  • Deliver outcomes that work. Guardrails catch mistakes before they run. Steering handlers let agents correct themselves instead of failing silently.

MCP, streaming, multi-agent patterns, and structured output are all built in.

Quick Start

Both SDKs default to the Amazon Bedrock model provider, so you'll need AWS credentials configured and model access enabled for Claude Sonnet. The Quickstart Guide covers configuring other providers (Anthropic, OpenAI, Gemini, Ollama, and more).

Python

Requires Python 3.10+:

pip install strands-agents strands-agents-tools
fromstrandsimportAgentfromstrands_toolsimportcalculatoragent=Agent(tools=[calculator])
agent("What is the square root of 1764")

The Python SDK README covers tools, model providers, MCP, and bidirectional streaming.

TypeScript

Requires Node.js 20+:

npm install @strands-agents/sdk
import{Agent}from'@strands-agents/sdk'constagent=newAgent()constresult=awaitagent.invoke('What is the square root of 1764?')console.log(result)

More in the TypeScript SDK README, including Zod-typed tools, structured output, and multi-agent patterns.

Documentation

For detailed guidance & examples, explore our documentation:

The docs themselves live in this monorepo under site/, and doc PRs are welcome alongside code changes.

Development

Git operations (commits, branches, PRs) are done from the repo root. Each package has its own toolchain:

Python SDK (strands-py/):

cd strands-py
pip install hatch
hatch test# run unit tests
hatch fmt # format & lint

TypeScript SDK (strands-ts/):

npm ci # install from repo root
npm run build # build
npm test# run unit tests

Documentation site (site/):

cd site
npm install
npm run dev # local dev server at http://localhost:4321/

Contributing ❤️

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

  • Reporting bugs & features
  • Development setup
  • Contributing via Pull Requests
  • Code of Conduct
  • Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

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

Security

See CONTRIBUTING for more information.

About

A model-driven approach to building AI agents in just a few lines of code.

Resources

Code of conduct

Contributing

Security policy

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages