Google Cloud Next Unveils Agent Developer Kit: Python Integration & Model Support

- Authors
- Published on
- Published on
At Google Cloud Next, Sam Witteveen delves into Google's latest creation - the Agent Developer Kit. This kit, designed for cloud deployment, boasts a cutting-edge multi-agent architecture that sets it apart from the competition. Google's approach is bold and innovative, integrating tools from Lang Chain and other frameworks to enhance functionality. The focus on state, memory, and event-driven processes showcases Google's commitment to pushing boundaries in the world of agent frameworks.
Google's collaboration with the Gemini team hints at a promising future for the Agent Developer Kit. By supporting Gemini and OpenAI models, Google is positioning itself as a frontrunner in the field. The decision to stick with Python for now may disappoint some, but plans for potential JS versions show Google's willingness to adapt. Early stages reveal API references, tutorials, and a seamless integration with various models, including the powerful Gemini 2.5 Pro.
Sam Witteveen's upcoming videos promise an in-depth exploration of the Agent Developer Kit, highlighting its strengths and potential weaknesses. As Google continues to refine its creation, the close relationship with the Gemini team may lead to groundbreaking advancements in agent frameworks. The release of new TPUs and a framework for agent-to-agent communication at Google Cloud Next further solidify Google's position as a trailblazer in the tech world. Stay tuned for more exciting updates and insights from Sam on this thrilling development.

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube
Watch Google Launches an Agent SDK on Youtube
Viewer Reactions for Google Launches an Agent SDK
Positive feedback on the honesty and lack of hyperbole in the video
Excitement for Google's new Agent SDK and looking forward to testing it out
Speculation on Google becoming a leader in AI
Appreciation for the channel and its content
Curiosity about the orchestration logic in the new tool
Comparison between ADK and Genkit, questioning the timing of their introduction
Concerns about security and access to local machines
Recognition of Google's innovations and ecosystem
Request for a deep dive into deployment options for the new tool
Humorous comments and language preferences regarding programming languages
Related Articles

Exploring Google Cloud Next 2025: Unveiling the Agent-to-Agent Protocol
Sam Witteveen explores Google Cloud Next 2025's focus on agents, highlighting the new agent-to-agent protocol for seamless collaboration among digital entities. The blog discusses the protocol's features, potential impact, and the importance of feedback for further development.

Google Cloud Next Unveils Agent Developer Kit: Python Integration & Model Support
Explore Google's cutting-edge Agent Developer Kit at Google Cloud Next, featuring a multi-agent architecture, Python integration, and support for Gemini and OpenAI models. Stay tuned for in-depth insights from Sam Witteveen on this innovative framework.

Mastering Audio and Video Transcription: Gemini 2.5 Pro Tips
Explore how the channel demonstrates using Gemini 2.5 Pro for audio transcription and delves into video transcription, focusing on YouTube content. Learn about uploading video files, Google's YouTube URL upload feature, and extracting code visually from videos for efficient content extraction.

Unlocking Audio Excellence: Gemini 2.5 Transcription and Analysis
Explore the transformative power of Gemini 2.5 for audio tasks like transcription and diarization. Learn how this model generates 64,000 tokens, enabling 2 hours of audio transcripts. Witness the evolution of Gemini models and practical applications in audio analysis.