That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

Add Decrypt as your preferred source to see more of our stories on Google. An AI agent’s performance optimization pull request was closed because the project limits contributions to humans only. The ...

As self-service becomes the first stop in contact centers, AI agents now define the frontline customer experience. Modern customer interactions span voice, text, and visual channels, where meaning is ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...

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 ...

The big AI companies promised us that 2025 would be “the year of the AI agents.” It turned out to be the year of talking about AI agents, and kicking the can for that transformational moment to 2026 ...

LangChain releases comprehensive guide to multi-agent AI systems, detailing subagents, skills, handoffs, and router patterns with performance benchmarks. LangChain has published a detailed framework ...

AMAS is a production-ready, enterprise-grade Multi-Agent Intelligence System that orchestrates 12 specialized AI agents working collaboratively to solve complex, multi-domain problems. With support ...

To build an AI agent, beginners should use OpenAI Agent Builder. It's a visual tool that lets you easily create multi-agent systems. You can test, iterate, and develop AI agents and publish them as ...