Google Agent Development Kit vs ZBrain
Google Agent Development Kit
adk.devZBrain
zbrain.aiSide by side
| Figure | Google Agent Development Kit | ZBrain |
|---|---|---|
| Price from | Free | $999/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · AI Agent Platforms | 8.8 (#7) | 7.4 (#54) |
| Deployment | Agents can run locally, in containers, on Cloud Run, on GKE or on Google's managed Agent Runtime. | ZBrain says it runs in a client’s preferred cloud environment, tenant, region, and security perimeter using client-controlled keys. |
| Integrations | The integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services. | ZBrain Builder advertises over 200 prebuilt connectors, including Salesforce, ServiceNow, Google Workspace, Microsoft Teams, Slack, and internal APIs. |
| Security | The security guidance covers identity and authorization, input and output guardrails, sandboxed code execution, and network controls. | ZBrain says it uses AES-256 encryption for data at rest and in transit, granular access controls, network controls, daily automated backups, and vulnerability management. |
| Support | The site links to community resources and says Google and the ADK team do not support the content in external community resources. | The Growth plan includes email support, while Enterprise includes priority email support. |
Plans
Google Agent Development Kit
- ADK frameworkFree
- Google Agent Development Kit (ADK)Free
ZBrain
- Starter Plan$999 a month
- Growth Plan$5,994, paid once
- Enterprise PlanPriced on request
In their own words
Google Agent Development Kit
Google Agent Development Kit (ADK) is an open-source framework for building, debugging, evaluating, and deploying AI agents. It is available in Python, TypeScript, Go, Java, and Kotlin. Graph-based workflows can combine deterministic code with adaptive AI reasoning, and hierarchical agents can delegate work to specialized agents. ADK supports Gemini and adapters for other model providers, including locally running models. Its integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services. Teams can create multi-turn evaluation datasets and run evaluations locally through the CLI or development UI. ADK also supports live agents with bidirectional text and audio streaming, manages session context, and connects to longer-term memory services. Deployment options include Google Cloud Agent Runtime, Cloud Run, GKE, container-friendly infrastructure, and local Docker or Podman environments. Security guidance covers identity, authorization, guardrails, sandboxed code execution, and network controls. ADK is free; model and cloud-service use may require separate access or billing. Agent Config is narrower: it currently supports only Gemini models and requires Python.