2025-01-18
AutoGen represents Microsoft’s latest attempt to address the challenges of building multi-agent systems for enterprise applications. This article explores what this means for the state of agentic AI today, and how it compares to other major frameworks like LangChain and CrewAI. This article unpacks the implications of AutoGen’s update, explores its standout features, and situates it within the broader landscape of AI agent frameworks, helping developers understand what’s possible and where the industry is headed. [...]
2025-10-01
Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all o [...]
2025-10-16
Microsoft is fundamentally reimagining how people interact with their computers, announcing Thursday a sweeping transformation of Windows 11 that brings voice-activated AI assistants, autonomous softw [...]
2025-10-28
Microsoft is launching a significant expansion of its Copilot AI assistant on Tuesday, introducing tools that let employees build applications, automate workflows, and create specialized AI agents usi [...]
2025-10-01
Slack is fundamentally reshaping how artificial intelligence agents access and use enterprise data, launching new platform capabilities that allow developers to tap directly into the rich conversation [...]
2025-10-01
In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]
2025-10-06
OpenAI launched an agent builder that the company hopes will eliminate fragmented tools and make it easier for enterprises to utilize OpenAI’s system to create agents. AgentKit, announced during Ope [...]
2025-11-13
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 [...]
2025-10-29
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]