These tools competes with

LangGraphvsStrands Agents

Graph-based stateful agent orchestration versus AWS's open-source agent SDK with built-in persistent memory

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Choose LangGraph when…

  • •You need stateful, graph-based agent control flow
  • •Complex branching or retry logic is required
  • •You're building production agents that need observability

Choose Strands Agents when…

  • •You're building agents on AWS infrastructure
  • •You want built-in persistent memory via Mem0 without extra setup
  • •You prefer a minimal model-driven SDK over LangGraph's explicit state machines

Side-by-side comparison

Field
LangGraph
Strands Agents
Category
Agent Frameworks
Agent Frameworks
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
—
—
GitHub Stars
⭐ 8,000
⭐ 3,000
Health
●95 — Active
●90 — Active

LangGraph

Build stateful multi-actor applications as directed graphs. Part of the LangChain ecosystem. Strong for complex agentic workflows.

Website ↗GitHub ↗

Strands Agents

AWS's open-source Python SDK for building production AI agents. Uses a model-driven approach where tools are described and the model reasons about their use. Native Mem0 integration for persistent memory, MCP support, and multi-agent coordination out of the box.

Website ↗GitHub ↗

Shared Connections1 tools both integrate with

OpenAI Agents SDK

Only LangGraph (29)

CrewAICursorSweep AILangSmithLiteLLMLlamaIndexLangfuseQdrantE2Bpgvector

Only Strands Agents (2)

LangGraphAmazon Bedrock

Explore the full AI landscape

See how LangGraph and Strands Agents fit into the bigger picture — 246 tools, 538 relationships, all mapped.

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