Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Ring Team Announces Significant New Contributions by Developer Youssef Saeed Youssef’s contributions, creativity, and ...

Moderne today announced Python language support across its Agent Tools platform, expanding the infrastructure organizations use to build code intelligence and safely coordinate large-scale software ...

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 ...

Amazon is beta testing a new platform that integrates Amazon Ads with a range of artificial intelligence platforms to enable simpler, coordinated campaign integration, the company announced at IAB ALM ...

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.

AI agents are accelerating how work gets done. They schedule meetings, access data, trigger workflows, write code, and take action in real time, pushing productivity beyond human speed across the ...

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 ...