Amazon Bedrock AgentCore vs LangGraph
A side-by-side comparison of Amazon Bedrock AgentCore and LangGraph, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Amazon Bedrock AgentCore
AgentServerless runtime and services for deploying AI agents in production.
View Amazon Bedrock AgentCoreLangGraph
OrchestrationGraph-based agent orchestration. Stateful loops with checkpoints.
View LangGraphAt a glance
| Attribute | Amazon Bedrock AgentCore | LangGraph |
|---|---|---|
| Category (differs) | Agent | Orchestration |
| Pricing (differs) | PAID | FREE |
| License (differs) | Proprietary | Open source |
| Deployment (differs) | Cloud | — |
| Platforms (differs) | API | API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | AWS | LangChain |
The honest brief
Amazon Bedrock AgentCore
Framework- and model-agnostic managed runtime — deploy agents built in Strands, LangGraph, or CrewAI with built-in identity, memory, and tools.
- Scales serverlessly, no infra to manage
- Modular memory, identity, gateway, browser, code tools
- Enterprise security and isolation
- Built-in observability
- AWS-only, usage-priced
- Newly GA — ecosystem still maturing
- Lock-in to the AWS platform
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