InfoQ Homepage Agents Content on InfoQ
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Introducing ANS: DNS-Inspired Secure Discovery for AI Agents
The Open Worldwide Application Security Project (OWASP) has recently introduced a new standard for securely discovering AI agents. Inspired by DNS, the Agent Name Service (ANS) provides a protocol-agnostic registry mechanism that uses Public Key Infrastructure (PKI) to establish agent identity and trust.
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Introducing Embabel: Advanced AI Agent Development for Java Applications
Introducing the Embabel Agent Framework, a pioneering platform developed by Spring founder Rod Johnson, designed to revolutionize AI applications on the JVM. By integrating structured agent development and Goal-Oriented Action Planning, Embabel combines strong typing with dynamic planning, ensuring reliable, adaptable, and type-safe solutions for enterprise Java applications.
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Anthropic Introduces Claude 4 Family and Claude Code
Anthropic released Claude Opus 4 and Sonnet 4, the newest versions of their Claude series of LLMs. Both models support extended thinking, tool use, and memory improvements, and Claude 4 Opus outperforms other LLMs on coding benchmarks.
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Amazon Open Sources Strands Agents SDK for Building AI Agents
Amazon has released Strands Agents, an open source SDK that simplifies AI agent development through a model-driven approach. The framework enables developers to build agents by defining prompts and tool lists with minimal code.
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Azure AI Search Unveils Agentic Retrieval for Smarter Conversational AI
Microsoft’s Azure AI Search unveils agentic retrieval, a cutting-edge query engine that enhances conversational AI answer relevance by up to 40%. This dynamic system leverages conversation history and parallel subquery execution, paving the way for sophisticated knowledge retrieval. Currently in public preview, it offers adaptive search strategies tailored for evolving enterprise needs.
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Microsoft Announces AI Agent and Platform Updates at Build 2025
At its annual developer conference, Build 2025, Microsoft introduced a set of updates focused on expanding the role of AI agents across Windows, GitHub, Azure, and Microsoft 365.
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Google DeepMind Unveils AI Coding Agent AlphaEvolve
Google DeepMind published a paper describing their AlphaEvolve coding agent. AlphaEvolve uses LLMs to discover and optimize algorithms across a range of domains, including hardware design, data center operations, and AI training.
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Azure AI Foundry Agent Service GA Introduces Multi-Agent Orchestration and Open Interoperability
Microsoft's Azure AI Foundry Agent Service has launched with robust, scalable features for building and managing AI agents. This versatile, use-case-agnostic platform supports multi-agent orchestration and integrates seamlessly with tools like Logic Apps and SharePoint. Developers can effortlessly create intelligent ecosystems for diverse applications, boosting productivity and innovation.
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OpenAI Launches Codex Software Engineering Agent Preview
OpenAI has launched Codex, a research preview of a cloud-based software engineering agent designed to automate common development tasks such as writing code, debugging, testing, and generating pull requests. Integrated into ChatGPT, Codex runs each assignment in a secure sandbox environment preloaded with the user's codebase and configured to reflect their development setup.
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Meta Open Sources LlamaFirewall for AI Agent Combined Protection
LlamaFirewall is a security framework aimed at safeguarding AI agents against prompt injection, goal misalignment, and insecure code generation. It achieved over 90% efficacy in reducing attack success rates when evaluated on the AgentDojo benchmark. Additionally, developers can update its behavior by adding new security guardrails.
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OpenAI Launches BrowseComp to Benchmark AI Agents' Web Search and Deep Research Skills
OpenAI has released BrowseComp, a new benchmark designed to test AI agents' ability to locate difficult-to-find information on the web. The benchmark contains 1,266 challenging problems that require agents to persistently navigate through multiple websites to retrieve entangled information.
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Docker Bridges Agents and Containers with New MCP Catalog and Toolkit
Docker has announced two new AI-focused tools—the Docker MCP Catalog and the Docker MCP Toolkit—to bring container-grade security and developer-friendly workflows to agentic applications, helping build a developer-centric ecosystem for Model Context Protocol (MCP) tools.
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PayPal's New Agent Toolkit Connects AI Frameworks with Payment APIs through MCP
PayPal has released its Agent Toolkit, designed to help developers integrate PayPal's API suite with AI frameworks through the Model Context Protocol (MCP). The toolkit provides access to APIs for payments, invoices, disputes, shipment tracking, catalog management, subscriptions, and analytics capabilities.
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QCon London: AI Agents Can Work Together to Make Humans Better
In a well-received closing keynote at QCon London 2025, independent AI consultant Hannah Foxwell challenged the common narrative about AI making us more productive and helping us to do more, instead arguing that AI agents should be designed to eliminate mundane work for us rather than replace human jobs.
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FastAPI-MCP: Simplifying the Integration of FastAPI with AI Agents
A new open-source library, FastAPI-MCP, is making it easier for developers to connect traditional FastAPI applications with modern AI agents through the Model Context Protocol (MCP). Designed for zero-configuration setup, FastAPI-MCP allows developers to automatically expose their API endpoints as MCP-compatible tools.