Dapr recently introduced Dapr Agents, a framework for building scalable, resilient AI agents using Large Language Models (LLMs). It enables structured workflows, multi-agent coordination, and ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating SWE-bench baselines by 10.5%.

As AI agents become more autonomous, strong identity, access, and auditing controls are critical to keeping them secure.

Software development AI has evolved far beyond code completion. Writing functions or suggesting syntax is no longer the ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

AWS is doubling down on AI agents with the announcement of multiagent capabilities on its Amazon Bedrock platform. During his keynote at the AWS re:Invent conference, AWS CEO Matt Garman said ...

Let’s get started with the frameworks and know about them in depth. Langchain is an open-source framework that enhances and simplifies the development of apps powered by large language models (LLMs) ...

Tec-Do, a global AI marketing technology company, today unveiled Navos 2.0 at the 2026 World Artificial Intelligence Conference (WAIC), introducing a next-generation AI agent designed to help ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

IBM Bob multi-agent AI platform gains Bobalytics cost analytics and isolated subagents on July 9, one day after Microsoft ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...