This week was huge for AI agents learning to work together. Big tech companies like OpenAI, Microsoft, and Anthropic all announced new ways for AI agents to collaborate and help each other. These agents are becoming smarter at teamwork, which means they can solve bigger problems that would have been too hard for a single AI to handle by itself.

One cool example is how Theia AI created a system where a coding agent and a GitHub agent can ask each other for help when they need it. Think of it like a team where each player knows their job really well, and they ask teammates for help only when needed. OpenAI launched ChatGPT Atlas, a brand new browser with Agent mode that can automate tasks, while Microsoft introduced Mico, a friendlier AI personality, and Anthropic added Memory so Claude can remember what you told it in past conversations.

Big companies are getting serious about this too. UBS, a huge bank, is building systems with multiple agents working together, and KPMG says the agentic revolution is already here. Even DeepMind created an AI agent called Dreamer 4 that learns to do complicated tasks by itself. Experts say agentic AI could double how much work people can do by 2027.

The real exciting part is that all these agents are learning to collaborate better. Instead of one super-smart AI trying to do everything, now you have teams of AI agents, each good at their own job, working together smoothly. This is changing how companies work and what AI can accomplish.