Open Source · Agent Framework Review
Strands Agents
AWS's open-source, model-driven SDK for building AI agents with minimal boilerplate. Defaults to Amazon Bedrock but supports Anthropic, Gemini, OpenAI, and others. Python and TypeScript SDKs maintained.
Editorial Score
3/5
3/5
Editorial score
MCP SUPPORTED
Latest: v1.35.0
// Our Verdict
A clean, minimal framework from AWS that delivers a simple agent loop with native MCP and multi-provider support. The Bedrock default creates AWS credential friction for non-AWS teams, and the community is still building. Worth evaluating for AWS-native workloads or teams wanting a lightweight alternative to heavier frameworks.
Best for: AWS-native teams or Python developers wanting a minimal, model-agnostic agent loop without the abstraction weight of LangChain
// Strengths
Genuinely minimal — simple agent loop that is easy to understand and customise
Model-agnostic: supports Bedrock, Anthropic, Gemini, LiteLLM, OpenAI, Ollama, and more out of the box
Native MCP support built in from launch
Python and TypeScript SDKs both maintained
AWS-backed v1.0 production-ready release with stated production support commitment
Built-in multi-agent patterns (supervisor/worker) with clear documentation
// Weaknesses
Default configuration requires AWS credentials and Bedrock model access — friction for non-AWS teams
AWS / Bedrock orientation despite model-agnosticism; ecosystem documentation is Bedrock-first
Younger project (launched May 2025) — smaller community and fewer production case studies than ADK or LangGraph
5.6k GitHub stars — notably lower community traction than comparable frameworks
TypeScript SDK less mature than Python version
// Agentic AI Audit
NOT SURE IF STRANDS AGENTS
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