BAND vs Google ADK (Agent Development Kit)
ADK speaks A2A natively. BAND gives A2A agents, and people, a shared room to work in.
LangGraph vs Google ADK · Graph control vs multi-language kit
Quick answer
Choose LangGraph when you want fine-grained, stateful control in Python or TypeScript and LangSmith for tracing and deployment. Choose Google ADK when you need Go, Java or Kotlin, want first-class A2A, or deploy on Google Cloud. If agents from both need to collaborate, BAND connects them in shared rooms.
LangGraph and ADK now look more alike than they did a year ago. ADK 2.0 added graph-based workflows next to its Sequential, Parallel and Loop agents, and LangGraph has always been graph-first. Both document A2A and MCP. The differences are languages, hosting gravity and how much structure each gives you out of the box.
ADK supports Python, TypeScript/JavaScript, Go, Java and Kotlin. LangGraph supports Python and JavaScript/TypeScript. ADK's best experience is on Google Cloud's Agent Runtime; LangGraph's managed path is LangSmith Deployment. Both frameworks are free: LangGraph under MIT, ADK under Apache 2.0.
| Spec | LangGraph | Google ADK (Agent Development Kit) |
|---|---|---|
| Design | State graph you define | Workflow agents (Sequential, Parallel, Loop) + graph workflows (2.0) |
| Languages | Python, JS/TS | Python, TS/JS, Go, Java, Kotlin |
| A2A | Yes, via LangSmith Agent Server (v1.0) | Yes, first-class; quickstarts in four languages |
| MCP | Yes (agents as MCP tools) | Yes (tools) |
| Human-in-the-loop | Interrupts | Action confirmations, human input |
| Managed hosting | LangSmith Deployment (Serverless/Dedicated) | Agent Runtime on Google Cloud; Cloud Run; GKE |
| Model choice | Model-agnostic | Model-agnostic, tight Gemini integration |
| License | MIT | Apache 2.0 |
| GitHub stars (approx., Sep 2026) | ~38k | ~21k (adk-python) |
| Watch for | Self-hosting the platform needs Enterprise | 2.0 breaking changes from 1.x |
LangGraph gives you primitives and asks you to compose the multi-agent pattern: supervisor, handoffs or router. ADK gives you pre-built workflow agents for the common shapes and a Task API for delegation, then graphs for the rest. If your team likes to start from a working pattern, ADK is quicker; if it likes to own every edge, LangGraph fits.
Across boundaries both rely on A2A. LangSmith exposes deployed LangGraph agents at an A2A endpoint; ADK can expose and consume A2A agents directly. That means a LangGraph agent and an ADK agent can call each other today.
Direct A2A calls work for a request and a response. When the LangGraph agents and ADK agents need to work on the same task over time, with shared context and a person who can intervene, BAND lets them collaborate. Both frameworks are on BAND's integrations list.
| Plan | Price | What you get |
|---|---|---|
| LangGraph | Free | MIT |
| LangSmith Plus | $39/seat/mo | 10k base traces/mo, 1 free Serverless deployment |
| LangSmith Enterprise | Custom | Self-hosted or hybrid |
| Google ADK | Free | Apache 2.0 |
| Google Cloud runtime and models | Usage-based | Billed by Google Cloud |
Prices from vendor pages, September 2026
ADK is better for language coverage and Google Cloud; LangGraph is better for fine-grained control and its LangSmith tooling. Both are production-grade.
Yes, over A2A. LangSmith Agent Server exposes A2A endpoints and ADK can consume remote A2A agents.
No. ADK runs in any container, though its managed Agent Runtime is on Google Cloud.
ADK 2.0 has breaking changes from 1.x, so plan migration time for existing code.
Reviewed Sep 2026
ADK speaks A2A natively. BAND gives A2A agents, and people, a shared room to work in.
Not either/or. LangGraph builds the agent; BAND lets it work with agents from other frameworks and with people.
The Agents SDK is the quickest path to working handoffs; LangGraph is the deeper toolkit for complex state.