Agent Collaboration Weekly AI News
February 9 - February 17, 2026This weekly update highlights how AI agents are learning to work together better than ever before. Multiple companies announced big partnerships and collaborations focused on making AI agents more powerful and useful when they team up.
One major collaboration is between Evogene, a computational chemistry company, and Google Cloud. They are integrating advanced AI agents into Evogene's ChemPass AI platform to help discover new medicines and agricultural chemicals faster. These AI agents can now plan, reason, and execute complex tasks automatically, which means scientists can discover promising new molecules much more efficiently.
Another important story is Nebius acquiring Tavily to build a complete agentic cloud platform. This means AI agents will be able to search the web, verify facts, and execute complicated tasks all within one unified system. Instead of using multiple separate tools, everything works together smoothly.
Anthropic is expanding its Model Context Protocol (MCP) with a new app framework. This allows developers to build full applications where AI agents can work alongside people in real workflows. It is no longer just about single tasks—now agents can manage multi-step experiences and collaborate more intelligently.
In the United States, major companies are making moves too. DXC Technology has rolled out Amazon Q to 115,000 employees across 70 countries, creating internal AI Advisor Agents that help engineers work more efficiently. Salesforce reports that AI agents have become the top growth tactic for sales teams, with 54% of organizations already using agents for deeper automation. Meanwhile, Coinbase launched special Agentic Wallets on its Base network designed specifically for AI agents to transact securely.
These collaborations show that AI agents are moving from simple automation tools to becoming active team members that can coordinate with each other, work with people, and handle complex multi-step projects. Companies worldwide are racing to build better collaboration frameworks so their AI agents can accomplish bigger goals together.