Key features
Core capabilities each platform advertises.
- LangChain Expression Language (LCEL)
- LangGraph for stateful multi-agent workflows
- 1000+ integrations
- LangSmith observability companion
- Python and JavaScript SDKs
StrandsData not available
Updated March 10, 2026
LangChain is the most widely adopted framework for building LLM-powered applications and AI agents. It provides abstractions for chains, agents, tools, memory, and retrieval that make it easy to compose complex AI systems. LangGraph, its agent orchestration layer, enables building stateful, multi-actor workflows with human-in-the-loop capabilities. LangSmith provides tracing, evaluation, and monitoring. The LangChain ecosystem is the largest in the AI application development space.
AWS-backed open-source agentic SDK for building AI agents
Core capabilities each platform advertises.
StrandsWhat each tool does well, and the limitations to keep in mind.
Pros
Cons
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Cons
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