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 Claude Agent SDK vs LangGraph by community traction (★ 39k vs ★ 7.8k). Pick Claude Agent SDK for Claude-native agents; pick LangGraph for stateful multi-agent workflows.
✓ Live data verified
| Claude Agent SDK | LangGraph | |
|---|---|---|
| GitHub stars | ★ 7.8k | ★ 39k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | Claude-native agents | stateful multi-agent workflows |
| Repository | anthropics/claude-agent-sdk-python | langchain-ai/langgraph |
Claude Agent SDK and LangGraph are both credible choices. By community traction, LangGraph leads (★ 39k). Pick Claude Agent SDK for Claude-native agents; pick LangGraph for stateful multi-agent workflows.
Both are credible agent frameworks. By community traction LangGraph leads (★ 39k). Pick Claude Agent SDK for Claude-native agents; pick LangGraph for stateful multi-agent workflows.
Claude Agent SDK is Anthropic's SDK for building agents on Claude — the harness behind Claude Code, with in-process tools, hooks, and an interactive client. Formerly the Claude Code SDK.. LangGraph is Graph-based orchestration for stateful, multi-actor agent workflows with explicit control flow and checkpointing..
LangGraph has more — ★ 39k vs ★ 7.8k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
Claude Agent SDK is primarily Python; LangGraph is primarily Python.
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