For the past eighteen months, the corporate world has been obsessed with the "builder" phase of the generative AI revolution. Enterprises have raced to deploy autonomous agents to handle everything from customer support to complex codebase refactoring. However, as these digital workers proliferate, a new, more structural problem has emerged: fragmentation. Agents built on LangChain cannot easily hand off tasks to those built on CrewAI; a Salesforce-embedded agent has no native way to coordinate with a custom-built Python script running on a private cloud. Today, a new startup, BAND (also known as Thenvoi AI Ltd.) exited stealth with $17 million in Seed funding to provide the "interaction infrastructure" necessary to turn these isolated tools into a unified, collaborativ [...]
Researchers at Nvidia and the University of Hong Kong have released Orchestrator, an 8-billion-parameter model that coordinates different tools and large language models (LLMs) to solve complex proble [...]
Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in [...]
OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.Called "Workspace Agents," [...]
Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents op [...]
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
Two days after releasing what analysts call the most powerful open-source AI model ever created, researchers from China's Moonshot AI logged onto Reddit to face a restless audience. The Beijing-b [...]