Google Agent Development Kit vs Uniphore Business AI Cloud
Google Agent Development Kit
adk.devUniphore Business AI Cloud
uniphore.comSide by side
| Figure | Google Agent Development Kit | Uniphore Business AI Cloud |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 0 |
| Spec score · AI Agent Platforms | 8.8 (#7) | 7.1 (#62) |
| Deployment | Agents can run locally, in containers, on Cloud Run, on GKE or on Google's managed Agent Runtime. | Uniphore says the platform supports cloud, multi-cloud, and on-premises deployments of enterprise AI agents and apps. |
| Integrations | The integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services. | The help center describes source connectors for document repositories, enterprise applications, relational databases, and NoSQL databases, and lists Confluence and Google Drive configuration instructions. |
| Model support | ADK is optimized for Gemini but provides adapters for other hosted and locally running model providers. | Its Model Layer supports proprietary, open-source, and fine-tuned models with orchestration, guardrails, and governance. |
| Purpose | ADK is an open-source framework for building, debugging, evaluating, and deploying AI agents. | Business AI Cloud unifies enterprise data, knowledge, models, and agents in a sovereign, composable AI platform. |
| Support | The site links to community resources and says Google and the ADK team do not support the content in external community resources. | Uniphore provides a support portal and lists regional technical support contact details on its support page. |
Plans
Google Agent Development Kit
- ADK frameworkFree
- Google Agent Development Kit (ADK)Free
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.
Uniphore Business AI Cloud
Uniphore Business AI Cloud has no write-up on Specifiction yet; its figures are above.