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
●75 — 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)

CrewAICursorLangSmithLiteLLMLlamaIndexSweep AILangfuseQdrantE2Bpgvector

Only Strands Agents (2)

LangGraphAmazon Bedrock

Explore the full AI landscape

See how LangGraph and Strands Agents fit into the bigger picture — 235 tools, 543 relationships, all mapped.

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