
Google Agent Development Kit
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| Fact | Google Agent Development Kit | SmythOS |
|---|---|---|
| CLI | Agents CLI can scaffold, build, test, evaluate and deploy ADK agents from an AI-enabled development environment. | The SRE CLI is installed with npm using @smythos/cli and scaffolds new SDK projects with the sre create command. |
| Deployment | Agents can run locally, in containers, on Cloud Run, on GKE or on Google's managed Agent Runtime. | Agents can be deployed through chat, APIs, webhooks, MCP servers, and ChatGPT, or exported to run locally. |
| Integrations | The integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services. | Documented integrations include OpenRouter, Replicate, Stability AI, ElevenLabs, PlayHT, Perplexity, Tavily, Fal.ai, Hugging Face, Google Translate, and OpenAPI. |
| License | The Python ADK repository is licensed under the permissive Apache License 2.0. | The SRE runtime, SDK, and CLI repository is open source under the MIT License. |
| Models | ADK supports Gemini and adapters for other model providers, including locally running models. | SmythOS says it supports models from providers including OpenAI and Anthropic, plus Hugging Face models and customer-provided models. |
| Security | The security guidance covers identity and authorization, input and output guardrails, sandboxed code execution, and network controls. | The security page describes zero-trust access controls, least privilege, fine-grained ACLs, and isolated agent contexts. |
ADK may suit developers building agents in one of its five supported languages, including projects that use hierarchical teams or local evaluations. Its deployment choices also suit teams targeting Google Cloud, containers, or local environments.
SmythOS suits people building AI agents and workflows who want visual or prompt-based tools and multiple deployment options. Teams should account for plan-specific call and seat limits and separate model usage charges.