Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Until recently, if you wanted your AI agent to check flight prices or look up a database, you had to write a custom tool. When Anthropic released the Model Context Protocol (MCP), it created a ...

Human-agent collaboration is at the heart of the AI-first organization vision, combining human creativity with AI capabilities to boost business efficiency and productivity. As people work with AI ...

Abstract: We introduce Semantic Relational Types (SRT), an extension to the relational type system that enriches traditional SQL data types with semantic annotations. SRT provides LLMfriendly type ...

agent-farm/ ├── src/agent_farm/ # Main Python package │ ├── main.py # Entry point, MCP server initialization │ ├── spec_engine.py # Spec Engine class (central component) │ ├── orgs.py # Organization ...

OpenAI’s Codex App Server aims to centralise agent logic to streamline integration across developer tools. Integrating generative AI into developer toolchains typically creates a fragmentation issue.

Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...

Microsoft Agent Framework Quick-start is a enterprise-ready starter kit for building modern, agentic applications with C#, Blazor (Fluent UI), and ASP.NET Core Web API. This solution demonstrates how ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

Microsoft is previewing Foundry MCP Server, a fully cloud-hosted implementation of the Model Context Protocol (MCP) for Microsoft Foundry. MCP is a standard for letting AI agents connect to apps, data ...

What if I told you that hosting your AI agents on a Virtual Private Server (VPS) could save you money, give you more control, and unlock a world of customization? Imagine running your AI-powered tools ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...