A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...
AI agents are LLM-powered interfaces designed to help people accomplish specific tasks. Creating and deploying them can be complex. Google's newly released Agent Development Kit for Python (and Java) ...
Antigravity AgentKit 2.0 updates Google’s AI-first IDE with 16 specialized agents, modular skills, and rules from Agent MD ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
What happens when a tech giant like Google decides to rewrite the rules of AI and cloud computing? With the unveiling of Gemini On-Prem, the Agent Developer Kit (ADK), and open-weight AI models, ...
Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...
Google is rolling out AI agents in Cloud that can handle everything from data analysis to code execution. Gemini CLI is gaining GitHub Actions, an agent that automates issue and contribution triage ...
This year marks our formal introduction to the agentic phase of the AI revolution. AI agents are models that can perform more complex tasks than simply answering questions. These agents can work on ...
Most AI agents have a memory problem. Ask a question, get an answer, close the tab and it’s done. Google's newly open-sourced Always-On Memory Agent, built on Gemini Flash-Lite, is designed to fix ...
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