InfoQ Homepage Agents Content on InfoQ
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Google Open-Sources Agent2Agent Protocol for Agentic Collaboration
Google released the Agent2Agent (A2A) Protocol, an open-source specification for building AI agents that can connect with other agents that support the protocol. Google has enlisted over 50 technology partners to contribute to A2A's development.
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Google Releases Open-Source Agent Development Kit for Multi-Agent AI Applications
At Google Cloud Next 2025, Google announced the Agent Development Kit (ADK), an open-source framework aimed at simplifying the development of intelligent, multi-agent applications. The toolkit is designed to support developers across the entire lifecycle of agentic systems — from logic design and orchestration to debugging, evaluation, and deployment.
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QCon London 2025: Achieving AI Precision through Intelligent Data Retrieval
Adi Polak, a Confluent expert, addressed AI precision challenges at QCOn London 2025, introducing agentic RAG to enhance data retrieval accuracy. With insights on the limitations of current systems and actionable strategies for implementation, Polak emphasized precision as a crucial factor in operationalizing AI, building trust, and improving business outcomes.
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Azure AI Foundry Supports NVIDIA NIM and AgentIQ for AI Agents
Microsoft and NVIDIA have teamed up to integrate NVIDIA NIM microservices and AgentIQ into Azure AI Foundry, streamlining AI agent application development. This partnership accelerates project lifecycles, optimizing performance and reducing costs. The toolkit enhances AI efficiency through real-time telemetry, enabling effortless deployment and advanced functionalities for developers.
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Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent Coordination
Introducing Dapr Agents—a groundbreaking framework for creating scalable AI agents using Large Language Models (LLMs). With robust workflows, multi-agent coordination, and cloud-neutral architecture, it enables enterprises to deploy thousands of resilient agents. Built on Dapr’s proven infrastructure, Dapr Agents ensures reliability and observability in AI-driven applications.
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OpenAI Launches New API, SDK, and Tools to Develop Custom Agents
OpenAI has announced the new Responses API, the Agents SDK, and observability tools to address the challenges that creating production-ready agents pose, such as building custom orchestration, and handling prompt iteration across complex, multi-step tasks.
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Google DeepMind Enhances AMIE for Long-Term Disease Management
Google DeepMind has extended the capabilities of its Articulate Medical Intelligence Explorer (AMIE) beyond diagnosis to support longitudinal disease management. The system is now designed to assist clinicians in monitoring disease progression, adjusting treatments, and adhering to clinical guidelines across multiple patient visits.
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Google Cloud Launches Gen AI Toolbox for Databases
Google Cloud has announced the public beta launch of Gen AI Toolbox for Databases, an open-source server developed in collaboration with LangChain. This new tool is designed to help developers seamlessly integrate production-grade, agent-based generative AI applications with databases while ensuring secure access, scalability, and observability.
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Azure AI Agent Service Now in Public Preview for Developers in AI Foundry SDK and Portal
Introducing the Azure AI Agent Service: a groundbreaking platform that empowers developers to design, deploy, and manage intelligent AI agents seamlessly integrated within the Microsoft ecosystem. Automate tasks, access real-time data, and monitor performance, all while benefiting from easy setup and advanced orchestration. Transform your business with AI-driven efficiency and innovation.
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OpenAI Releases Operator, an AI Agent for Web-Based Tasks
OpenAI released a research preview of Operator, an AI agent that can use a web browser to perform tasks on a user's behalf. Operator achieves new state-of-the-art performance on the WebArena and WebVoyager benchmarks.
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Block Launches Open-Source AI Framework Codename Goose
Block’s Open Source Program Office has launched Codename Goose, an open-source, non-commercial AI agent framework designed to automate tasks and integrate seamlessly with existing tools. Goose provides users with a flexible, on-machine AI assistant that can be customized through extensions, enabling developers and other professionals to enhance their productivity.
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JetBrains AI Coding Agent Junie Provides Tight Integration with JetBrains IDEs
JetBrains has announced Junie, its new AI coding agent, in closed preview. Junie, says the company, is able to carry through the coding tasks you assign it and leverage the knowledge about your project context as available in the IDE.
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Major LLMs Have the Capability to Pursue Hidden Goals, Researchers Find
Researchers at AI safety firm Apollo Research found that AI agents may covertly pursue misaligned goals and hide their true objectives. Known as in-context scheming, this behavior does not seem to be accidental as LLMs explicitly reason about deceptive strategies and consider them a viable strategy.
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Nvidia Nemotron Models Aim to Accelerate AI Agent Development
Nvidia has launched Llama Nemotron large language models (LLMs) and Cosmos Nemotron vision language models (VLMs) with a special emphasis on workflows powered by AI agents such as customer support, fraud detection, product supply chain optimization, and more. Models in the Nemotron family come in Nano, Super, and Ultra sizes to better fit the requirements of diverse systems.
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Hugging Face Smolagents is a Simple Library to Build LLM-Powered Agents
Smolagents is a library created at Hugging Face to build agents based on large language models (LLMs). Hugging Faces says its new library aims to be simple and LLM-agnostic. It supports secure "agents that write their actions in code" and is integrated with Hugging Face Hub.