LangGraph vs Strands Agents
A side-by-side comparison of LangGraph and Strands Agents, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
LangGraph
OrchestrationGraph-based agent orchestration. Stateful loops with checkpoints.
View LangGraphStrands Agents
AgentModel-driven, open-source agent SDK for Python and TypeScript.
View Strands AgentsAt a glance
| Attribute | LangGraph | Strands Agents |
|---|---|---|
| Category (differs) | Orchestration | Agent |
| Pricing | FREE | FREE |
| License | Open source | Open source |
| Deployment | — | — |
| Platforms (differs) | API, CLI | API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | LangChain | AWS |
The honest brief
LangGraph
Durable checkpointed state-graph with human-in-the-loop — long agent runs pause and resume, unlike one-shot chains.
- Durable checkpointed state
- Low-level graph control
- Debuggable long-running agents
- Runs in production at major firms
- Steeper learning curve
- More boilerplate than chains
- Tied to LangChain conventions
Strands Agents
Lets the model plan the loop instead of hardcoding it, so agents need less orchestration scaffolding than graph-based frameworks.
- Python and TypeScript SDKs
- Native MCP support, 20+ built-in tools
- Model-agnostic across providers
- Observability built in
- Battle-tested inside Amazon
- Newer ecosystem than LangChain
- Deepest integration is with AWS/Bedrock
- TypeScript SDK trails the Python one