Strands Agents (AWS)
Strands Agents is an open-source, model-driven SDK from AWS designed to simplify the development of production-ready AI agents through a lightweight orchestration framework.
At a Glance
- Enterprise Software Developers
- Fintech and Banking Institutions
- Healthcare and Life Sciences
- Robotics and Industrial IoT
- +1 more
AI Tools by Strands Agents (AWS)
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Strands Agents
AWS Open Source Agent SDK
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Latest News
AWS and Exa announce native web search integration for Strands Agents
Strands Agents showcased at AgentCon Hong Kong for financial multi-agent systems
AWS re:Invent 2025: Strands Agents adds GA support for TypeScript and Edge Devices
Introducing Strands Agent SOPs: Standardizing Natural Language Workflows
Products & Services
A lightweight, open-source framework for building and running AI agents with a model-first approach.
Natural language workflow definitions that enable agents to follow complex, standardized procedures.
An experimental sandbox for cutting-edge agentic AI projects and community-led innovation.
Capability to run Strands agents on resource-constrained edge devices using local models.
Market Position
Strands Agents positions itself as a lightweight, 'model-first' alternative to complex, workflow-heavy frameworks like LangChain and CrewAI. It leverages native AWS integrations to offer better performance, security, and scalability for enterprise production environments.
Leadership
Founders
Dr. Swami Sivasubramanian
Vice President of Data and AI at Amazon Web Services (AWS). Leading AWS's efforts in generative AI, databases, and analytics.
AWS Agentic AI Team
The internal engineering group at AWS responsible for developing agentic orchestration and observability tools.
Executive Team
Matt Garman
CEO, Amazon Web Services
Leading AWS strategy and operations; formerly Senior VP of AWS Sales, Marketing, and Support.
Dr. Swami Sivasubramanian
VP of Data and AI, AWS
Oversees the entire AI/ML stack at AWS, including Bedrock and SageMaker.
Board of Directors
Founding Story
Strands Agents was originally developed by internal AWS development teams to automate complex operational tasks. Recognizing the need for a simpler, model-driven alternative to hard-coded agent workflows, AWS open-sourced the SDK to enable the broader developer community to build scalable multi-agent systems.
Business Model
Revenue Model
Open Source SDK (free) designed to drive adoption and consumption of paid AWS services including Amazon Bedrock (API usage), Amazon Nova models, and AWS compute resources.
Pricing Tiers
MIT/Apache 2.0 licensed framework available on GitHub.
Pay-as-you-go pricing for foundation model calls (e.g., Nova, Claude, GPT).
Target Markets
- Enterprise Software Developers
- Fintech and Banking Institutions
- Healthcare and Life Sciences
- Robotics and Industrial IoT
- Startups building Agentic AI applications
- Financial multi-agent systems for risk analysis and reporting
- Healthcare workflow optimization (e.g., radiology reporting)
- Automated Infrastructure-as-Code (IaC) and drift detection
- Web search-enabled research assistants
- Intelligent customer support and lead generation
- MongoDB
- Exa Search
- Jit
- Twelve Labs