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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
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3/5
Editorial score
MCP SUPPORTED
Latest: v1.35.0
License
Open Source
Hosting
Self-hosted + Cloud
Languages
Python, TypeScript
MCP Support
Yes
// 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
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