A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Docker Agent simplifies building and connecting AI agents using YAML files. Eliminate Python boilerplate and run agents on ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

Microsoft added a channels system to its Agent Framework for Python, allowing the same agent or workflow to operate through MCP, A2A, OpenAI Responses clients, and Telegram. The approach lets ...

After "AI agents" comes "multi-agent AI"—in the spring of 2026, this term is rapidly becoming a buzzword in the meeting rooms ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

In recent years, discussions and debates around AI have gained significant momentum. Most chatter centers on generative AI or agentic AI. GenAI systems like chatbots and copilots can create original ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

Apple researchers found a single coding agent called Malena hit a 62.5% medal rate on MLE-bench, beating complex multi-agent systems.

Tina Huang provides an in-depth breakdown of her Hermes OS setup (Hermes OS has now rebranded as Hivra), a system built around three specialized agents: the Coder Agent, Lifebot and Tacobot. Each ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.