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The landscape of AI agent development has evolved rapidly, with developers needing robust frameworks to build, test, and benchmark intelligent systems. MCP-Universe emerges as a comprehensive solution, providing a modular framework designed around the Model Control Protocol (MCP) standard for developing, orchestrating, and evaluating AI

We are excited to announce a Salesforce AI Research and Berkeley collaboration: BFCL Audio—a new benchmark that extends BFCL to the audio domain! A little Berkeley lore: back in 2022, we couldn’t find open-source models that handled zero-shot function calling reliably—so we trained our own.

Holiday 2025 is coming fast, and the way shoppers find products is changing just as quickly. Product content is no longer evaluated only by people; it’s parsed, compared, and synthesized into answers by AI systems and large language models (LLMs). Already, 39% of shoppers report

Most agents can respond to a prompt, but ask them to click a button in your enterprise software, and suddenly its limitations show. In the age of generative AI, everyone’s racing to build agents that don’t just respond to prompts, but actually do things. Send

There’s a cost to doing things manually — and it adds up fast. Most small and medium-sized businesses (SMBs) lose hours each week to tasks that can be handled in seconds. Automation isn’t a luxury anymore — it’s a competitive edge. Entrepreneurs everywhere are using

For decades, writing for the internet was a soulless exercise in pleasing bots. We stuffed articles with keywords, built pages for crawlers, and focused on search engine ranking above all else. It was a game that wasn’t ideal for anyone. But that game is changing,

You might have heard people say that artificial intelligence (AI) is complicated, and that only big tech companies or those with huge budgets can afford it. Sound familiar? Here’s the truth: AI agents aren’t mysterious, rocket-science-level tools, they’re more like friendly helpers for your small