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 Google ADK vs LangGraph by community traction (★ 39k vs ★ 21k). Pick Google ADK for multi-agent systems; pick LangGraph for stateful multi-agent workflows.
✓ Live data verified
| Google ADK | LangGraph | |
|---|---|---|
| GitHub stars | ★ 21k | ★ 39k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | multi-agent systems | stateful multi-agent workflows |
| Repository | google/adk-python | langchain-ai/langgraph |
Google ADK and LangGraph are both credible choices. By community traction, LangGraph leads (★ 39k). Pick Google ADK for multi-agent systems; pick LangGraph for stateful multi-agent workflows.
Both are credible agent frameworks. By community traction LangGraph leads (★ 39k). Pick Google ADK for multi-agent systems; pick LangGraph for stateful multi-agent workflows.
Google ADK is Google's Agent Development Kit — a code-first, model-agnostic toolkit for building, evaluating, and deploying multi-agent systems. Optimized for Gemini.. LangGraph is Graph-based orchestration for stateful, multi-actor agent workflows with explicit control flow and checkpointing..
LangGraph has more — ★ 39k vs ★ 21k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
Google ADK is primarily Python; LangGraph is primarily Python.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.