A side-by-side of two agent frameworks for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: LangGraph leads Strands Agents vs LangGraph by community traction (★ 39k vs ★ 6.8k). Pick Strands Agents for AWS/Bedrock agents; pick LangGraph for stateful multi-agent workflows.
✓ Live data verified
| Strands Agents | LangGraph | |
|---|---|---|
| GitHub stars | ★ 6.8k | ★ 39k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | AWS/Bedrock agents | stateful multi-agent workflows |
| Repository | strands-agents/sdk-python | langchain-ai/langgraph |
Strands Agents and LangGraph are both credible choices. By community traction, LangGraph leads (★ 39k). Pick Strands Agents for AWS/Bedrock agents; pick LangGraph for stateful multi-agent workflows.
Both are credible agent frameworks. By community traction LangGraph leads (★ 39k). Pick Strands Agents for AWS/Bedrock agents; pick LangGraph for stateful multi-agent workflows.
Strands Agents is AWS's model-driven agent SDK — give it a prompt and tools and let the model plan, call tools, and reflect in a loop. First-class Bedrock, MCP-native, OpenTelemetry tracing.. LangGraph is Graph-based orchestration for stateful, multi-actor agent workflows with explicit control flow and checkpointing..
LangGraph has more — ★ 39k vs ★ 6.8k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
Strands Agents is primarily Python; LangGraph is primarily Python.
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