Google Agent Development Kit (ADK) vs LangGraph
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Google Agent Development Kit (ADK) if you want open-source framework for building and orchestrating multi-agent systems (Supervised agent, free); choose LangGraph if you want low-level framework for stateful, durable, graph-based llm agents (Supervised agent, freemium).
| Google Agent Development Kit (ADK) | LangGraph | |
|---|---|---|
| What it is | Open-source framework for building and orchestrating multi-agent systems | Low-level framework for stateful, durable, graph-based LLM agents |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | free · Free (open source; pay model + cloud usage) | freemium · Framework free (MIT); LangGraph Platform via LangSmith (free Developer tier) |
| Best for | developers, enterprise | developers, enterprise, mid-market |
| Deployment | self-hosted, api | self-hosted, api, saas |
| Modalities | text, code, api | text, code, api |
| Models | gemini, model-agnostic | model-agnostic, gpt, claude, gemini, open-source |
| Protocols | a2a, mcp, function-calling, rest-api | function-calling, mcp, rest-api |
| Integrations | Vertex AI, Cloud Run, Gemini, LiteLLM, MCP servers | OpenAI, Anthropic, Google, AWS Bedrock, LangSmith |
| Capabilities | 3 documented | 4 documented |
Google Agent Development Kit (ADK)
- +Backed by Google with first-class deployment to Vertex AI and Cloud Run
- +Built around the open A2A protocol for cross-framework agent interoperability
- +Model-agnostic via LiteLLM despite Gemini-first defaults
- -A framework, not a product: you build, host, and secure agents yourself
- -Strongest when paired with Google Cloud, which can imply lock-in
LangGraph
- +Explicit graph model makes complex agent control flow (loops, branching, multi-agent routing) inspectable and controllable
- +Production-grade primitives: durable execution, checkpointing/time-travel, and first-class human-in-the-loop interrupts
- +Open source and model-agnostic, with a hosted LangGraph Platform and LangSmith observability for deployment
- -Lower-level and more verbose than higher-level agent libraries; a steeper learning curve
- -Framework, not a product: autonomy and quality depend entirely on what the developer builds
Which should you choose?
Google Agent Development Kit (ADK) is open-source framework for building and orchestrating multi-agent systems, best for developers, enterprise. LangGraph is low-level framework for stateful, durable, graph-based llm agents, best for developers, enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.