Is Google Agent Development Kit (ADK) the best agentic framework in 2025?
AI Summary
Video Summary: Evaluating AI Agent Frameworks
Introduction
- Google released its Agent Development Kit (ADK) for free AI agent development, competing with frameworks like Crayi and OpenAI.
- The video evaluates these frameworks on five dimensions.
1. Ease of Getting Started
- Google ADK: Comprehensive documentation with a quick start guide. You can easily launch a server locally for testing.
- OpenAI: Basic documentation, less hands-on compared to Google.
- Curi: Interactive chat feature in documentation improves ease of use.
2. Unique Capabilities
- Google ADK: Allows storage of various data formats (artifacts), enabling multimodal capabilities.
- OpenAI: Easily add audio functionalities to agents.
- Curi: Basic capabilities but allows flow and crew integration.
3. Data Trustworthiness
- Google ADK: Offers comprehensive guardrails at multiple levels (model, tool, task).
- OpenAI: Can remove sensitive data from streaming events.
- Curi: Limited to task-level guardrails.
4. Speed of Agent Development
- Google ADK: Access to a rich ecosystem with hundreds of pre-built connectors (e.g., Google services, Salesforce).
- OpenAI: Limited pre-built tools; some uncertainty about production readiness.
- Curi: Offers some pre-built connectors but less comprehensive than Google.
5. Deployment Ease
- Google ADK: Multiple deployment options (Vertex AI, Cloud Run); built-in tracing for debugging.
- OpenAI: Limited deployment support.
- Curi: Easy to upload deployments but tiered pricing.
Conclusion
- Overall, Google’s ADK is the best option due to its robustness, ease of building complex agents, and deployment flexibility.
- Curi is recommended for beginners to get started easily.