Real-World Agent Examples with Gemini 3
Blog post from Google Cloud
As the field of agentic AI progresses, developers are shifting from basic notebooks to creating sophisticated, production-ready agentic workflows capable of handling real-world tasks such as browser automation and social media interactions. At the core of these workflows is Gemini 3, which acts as an orchestrator to manage reasoning depth and state, addressing deployment challenges associated with AI agents. Collaborations with six open-source frameworks demonstrate Gemini 3's capabilities, offering examples that developers can clone and run. These frameworks include ADK, Agno, Browser Use, Eigent, Letta, and mem0, each providing unique functionalities such as scalable agent workflows, multi-agent systems, web automation, workforce task automation, memory management, and personalized interactions. These integrations with Gemini 3 highlight the shift towards an ecosystem where AI agents can effectively interact with the world, supported by a range of tools that enhance their reliability and efficiency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 14 | 2,834 | 598 | 185 | -18% |
| Multi-agent systems | 4 | 373 | 107 | 60 | +43% |
| LLM | 3 | 3,775 | 638 | 202 | -32% |
| MCP | 1 | 4,899 | 392 | 145 | +47% |
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