Strands
Strands Agents is an open-source AI agent SDK developed by Amazon Web Services, enabling Python and TypeScript developers to build production AI agents with steering hooks, multi-agent patterns, and deployment to AWS Bedrock AgentCore.
- Company typePrivate
- Founded-
- Headquarters—
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Strands does
Strands Agents is an open-source AI agent SDK for Python and TypeScript, developed and maintained by Amazon Web Services as part of Amazon.com's cloud AI strategy. The core product is a model-driven framework that enables developers to build production AI agents with a few lines of code, providing an agent loop, tool use, hooks for lifecycle interception, multi-agent orchestration patterns (Agent2Agent, Agents as Tools, Swarm, Graph, Workflow), structured output, conversation management, guardrails, and an MCP server for AI coding assistants. The SDK is model-agnostic and integrates with Amazon Bedrock, Anthropic, Google, OpenAI, Mistral, and a broad set of community model providers, with deployment targets across AWS Lambda, Fargate, EKS, Docker, and the Bedrock AgentCore Runtime.
The product extends beyond the core SDK with the Strands Evals SDK for evaluating agent behavior, the Strands Shell for terminal interaction, Strands Labs for experimental projects in robotics and AI Functions, and a Code Agent extension that replaces tool-calling with code generation in a persistent Python REPL. The flagship technical claim is the steering hooks system, which achieved 100% accuracy in benchmark testing versus 82.5% for prompts and 80.8% for workflows, with 66% fewer input tokens than the SOP approach. The SDK is distributed as open-source software via pip and npm, with 6,700+ GitHub stars and an active Discord community.
The business model is freemium and indirect: the SDK itself is free, with monetization occurring through AWS infrastructure consumption (Bedrock, AgentCore, Lambda, Fargate) when agents are deployed at scale. The GTM motion is community-led, targeting individual developers and enterprise engineering teams through GitHub, technical documentation, and case studies. Named enterprise adopters include Smartsheet, Swisscom, Eightcap, Verisk Analytics, Ciena, and TeamForm, with use cases spanning customer support automation, security operations, infrastructure drift detection, voice-controlled agents, and incident response.
Strands firmographics
Firmographics- Name
- Strands
- Legal name
- Amazon Web Services, Inc.
- Website
- https://strandsagents.com
- Company type
- Private
- Operating status
- Operating
- Short description
- Strands Agents is an open-source AI agent SDK developed by Amazon Web Services, enabling Python and TypeScript developers to build production AI agents with steering hooks, multi-agent patterns, and deployment to AWS Bedrock AgentCore.
- Ownership category
- akta.pro rank
Strands industry classification
Industry- Product category
- AI Agent Development SDK
- NAICS
- Software Publishers (5132)
- SIC
- Services-Computer Programming Services (7371)
- akta.pro primary industry
- Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)
- akta.pro secondary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Strands business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales
Revenue model
- Open Source SDK Distribution: The core Strands Agents SDK is open source (Apache 2.0 or similar), freely available via pip and npm. Revenue generation appears to be indirect through AWS ecosystem adoption, enterprise support services, and driving Bedrock usage.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Open source SDK - Free tier |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels6 records
Strands product offering
Product offeringCore offering
Strands Agents is an open-source AI agent SDK for Python and TypeScript that enables developers to build production-grade AI agents in a few lines of code. It provides tools, hooks, conversation management, structured output, multi-agent patterns, observability, guardrails, and MCP integration, with deployment flexibility across any LLM provider and AWS infrastructure including Bedrock AgentCore Runtime. Companion offerings include the Evals SDK for agent evaluation, Strands Shell for CLI interaction, and Strands Labs for experimental projects.
Product overview
Strands Agents is an open source AI agent SDK for Python and TypeScript, built from production systems inside Amazon. The core product is the Strands Agents SDK which provides a model-driven approach to building AI agents with tools, hooks, conversation management, structured output, multi-agent patterns, observability, guardrails, and MCP server integration. The ecosystem includes: the core SDK for agent development; the Evals SDK for testing and evaluating agent behavior, trajectories, and outputs with automated experiment generation and red-teaming; Strands Shell for command-line interaction; Labs for experimental projects including Robots, Robots Sim, and AI Functions; AgentCore Runtime for AWS Bedrock deployment; and a marketplace of community-built plugins, model providers, tools, session managers, and integrations. The platform supports bidirectional streaming voice via BidiAgent for real-time voice interactions with Nova Sonic, Gemini Live, and OpenAI Realtime.
Differentiator
Problem solved
Functional benefit
Brands
- Strands Evals SDK: A framework for evaluating AI agents and LLM applications with output evaluation, trajectory analysis, tool usage assessment, and automated experiment generation.
- Strands Shell
- Strands Steering
- Strands Labs
Products and services
- Strands Agents SDK
Quantifiable outcome
- 100% accuracy with steering vs 82.5% with prompts and 80.8% with workflows
- +5 more outcomes
Companies that use Strands
Customer profileNamed customers11 records
Segments3 records
Ideal customer profiles2 records
Strands technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration45 records
AI capability14 records
Feature13 records
Strands partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and flagship.
- AWS / AmazoncoreStrands Agents is built from production systems inside Amazon and is tightly integrated with AWS services including Bedrock, Lambda, Fargate, EKS, AgentCore, and OpenTelemetry. AWS provides the primary deployment platform and the company is aligned with Amazon's cloud strategy.
- TavilyflagshipOfficial integration for building dynamic web research agents. Tavily provides real-time web search capabilities integrated with Strands Agents SDK for enterprise-grade research agent development.
- DatadogcoreDatadog AI Guard integration with Strands agents through the Plugins system, providing real-time security inspection, blocking, and governance for AI behavior including prompt injection and jailbreaking detection.
- KiroflagshipKiro AI IDE integration allowing Strands agents to run within the Kiro development environment using MCP protocol.
Scale indicators6 records
Recent moves6 records
Expansion highlights7 records
Strands competitors and assessment
Company assessmentDirect peers
- LangChain: LangChain is the most widely adopted open-source framework for building LLM applications and agents in Python and TypeScript. It is the primary direct competitor to Strands Agents, targeting the same developer audience with comparable tool-use, chains, and agent orchestration capabilities.
- LlamaIndex: LlamaIndex is an open-source framework for building LLM applications with a strong emphasis on data ingestion, RAG, and agent workflows. It directly competes with Strands in the agent and RAG tooling category for Python/TypeScript developers.
- OpenAI Agents SDK: OpenAI's Agents SDK is an open-source framework for building agentic applications with tool use, handoffs, and tracing. It directly competes with Strands for the agent development mindshare of developers building production AI agents.
- CrewAI: CrewAI is an open-source multi-agent orchestration framework focused on role-playing, collaborative agent crews. It competes directly with Strands' multi-agent patterns (Swarm, Graph, A2A) for developers building coordinated agent systems.
- Microsoft AutoGen: Microsoft AutoGen is an open-source framework for building multi-agent AI applications with conversational and event-driven patterns. It directly competes with Strands for enterprise and developer mindshare in the multi-agent orchestration category.
- Google Agent Development Kit (ADK): Google's open-source Agent Development Kit (ADK) is a code-first framework for building, evaluating, and deploying agents with Gemini and other models. It directly competes with Strands as a cloud-vendor-backed alternative for enterprise agent development.
- Microsoft Semantic Kernel: Semantic Kernel is Microsoft's open-source SDK for integrating LLMs into enterprise applications with planning, tool calling, and agent capabilities. It competes directly with Strands in the enterprise AI SDK category, particularly among .NET and Azure-aligned developers.
Emerging players
- deepset Haystack: Haystack is an open-source Python framework by deepset for building production LLM applications, including RAG pipelines and agentic workflows. It overlaps with Strands on agent and RAG tooling, with a stronger focus on NLP pipelines and retrieval.
Broad incumbents
- Google Vertex AI Agent Builder: Vertex AI Agent Builder is Google's enterprise platform for building and deploying AI agents with grounded generative AI and orchestration. It is a broader incumbent offering that overlaps with Strands but is part of Google's wider enterprise AI portfolio.
Others
- Amazon Bedrock Agents: Amazon Bedrock Agents is the AWS managed service for building and deploying generative-AI agents natively on Bedrock. It is complementary to Strands (Strands deploys to AgentCore Runtime) and is positioned as the enterprise counterpart to the open-source SDK within the same AWS ecosystem.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Strands social profiles
Digital presenceStrands financial estimates
Financial estimateRevenue estimate
Valuation estimate
Strands leadership team
Management profileNumber of profiles
Strands funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Strands M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Strands
What does Strands do?
Strands Agents is an open-source AI agent SDK for Python and TypeScript that enables developers to build production-grade AI agents in a few lines of code. It provides tools, hooks, conversation management, structured output, multi-agent patterns, observability, guardrails, and MCP integration, with deployment flexibility across any LLM provider and AWS infrastructure including Bedrock AgentCore Runtime. Companion offerings include the Evals SDK for agent evaluation, Strands Shell for CLI interaction, and Strands Labs for experimental projects.
Is Strands a public or private company?
Strands is a private company. It is classified as corporate owned and is currently operating.
When was Strands founded?
Strands was founded in -1.
How does Strands make money?
One revenue line is on record: open Source SDK Distribution.
Who are Strands's main competitors?
Direct peers on record are LangChain, LlamaIndex, OpenAI Agents SDK, CrewAI, Microsoft AutoGen, Google Agent Development Kit (ADK) and Microsoft Semantic Kernel. deepset Haystack is listed as an emerging player. Google Vertex AI Agent Builder is listed as a broad incumbent. Amazon Bedrock Agents is listed as an others.
Does Strands have an API?
Yes. Strands Agents SDK provides a public API for building AI agents. The MCP (Model Context Protocol) server is available for integration with AI coding assistants including Claude Code, Cursor, Kiro, and VS Code. The SDK supports Python and TypeScript with tools, hooks, conversation management, structured output, and multi-agent patterns. Installation via pip install strands-agents and npm install @strands-agents/sdk. Developer documentation is at strandsagents.com/docs.
What industry is Strands in?
Strands's product category is AI Agent Development SDK. Its primary akta.pro industry code is HDAAACAF, Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent), with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 5132 and its SIC code is 7371.