Agent Development Kit
In the Agent Development Kit (ADK), an Agent is a self-contained execution unit designed to act autonomously to achieve specific goals. Agents can perform tasks, interact with users, utilize external tools, and coordinate with other agents.
Introduction. The foundation for all agents in ADK is the BaseAgent class. It serves as the fundamental blueprint. To create functional agents, you typically extend BaseAgent in one of three main ways, catering to different needs – from intelligent reasoning to structured process control. ADK provides distinct agent categories to build sophisticated applications:
Discussion / Conclusion. While each agent type serves a distinct purpose, the true power often comes from combining them. Complex applications frequently employ multi-agent architectures where: Understanding these core types is the first step toward building sophisticated, capable AI applications with ADK.
Lines of inquiry this paper opens 24
Research framings built by reading the notes related to this paper — the questions it feeds into.
How do models learn from self-generated outputs without cascading failures? Can AI systems achieve real improvement without external human feedback?- Why do different AI models generate similar outputs independently?
- Can AI output be genuinely novel or only at the margins?
- Why do different language models independently produce similar outputs?
- Why do multiple language models independently produce similar outputs in influence campaigns?
- Why do sigmoid conflict curves look the same across different language models?
- Can few-shot examples narrow generative diversity in creative tasks?
- Can diverse human creativity survive if all AI systems converge on similar outputs?
- What happens to idea diversity when AI tools draw from collective knowledge?