Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,061 articles
Meta AI is testing a setup where a separate memory-focused agent helps a main AI agent avoid repeating mistakes during lengthy, multi-step tasks. The goal is to prevent agents from forgetting previously diagnosed errors and looping through failed approaches. Source: the-decoder.com
The author describes contacting a cleaning company for a couch-cleaning quote, where staff asked about size, material, and a photo. This manual back-and-forth inspired building a LangGraph-based AI agent to automate the booking conversation instead. Source: towardsdatascience.com
Y Combinator has released QM, its internal multiplayer AI agent harness, as open-source software under the MIT license. The company uses QM to handle its own accounting, legal, and engineering tasks. Source: startupfortune.com
Cloudflare kicked off 'Agents Week' to outline its vision of an 'Agent Cloud' — infrastructure designed specifically around AI agents rather than human users. The initiative aims to reshape core computing foundations for this new usage pattern. Source: startuphub.ai
A roundup highlights 23 practical use cases for AI agents across categories like productivity, business, coding, ecommerce, healthcare, logistics, and automation. Source: hostinger.com
Hanatour has launched a conversational travel-planning feature built on KT's AI agent platform, letting users design personalized trips through dialogue. The move is part of the company's push to expand generative-AI-powered travel services. Source: sportschosun.com
WellSpan Health and Hippocratic AI have formalized a multi-year partnership to jointly develop AI agents for clinical use. The collaboration builds on a relationship that began in 2024, when WellSpan became one of the first health systems to deploy Hippocratic AI's generative AI agent. Source: fiercehealthcare.com
Security researchers at Unit 42 uncovered an AI-driven autonomous hacking campaign linked to a Chinese-speaking threat actor. The attackers targeted infrastructure using a set of seven distinct tools or techniques as part of the operation. Source: unit42.paloaltonetworks.com
SoundHound AI has announced an expansion of "Emily," the AI agent it built for MUSC Health using its next-generation agentic AI platform. The rollout marks a deeper integration of conversational AI tools into the healthcare provider's operations. Source: globenewswire.com
As enterprise software vendors race to monetize AI agents, they're testing wildly different pricing models with no industry consensus emerging. The resulting confusion is making it hard for businesses to compare offerings or predict costs. Source: marketwatch.com
Satya Nadella revealed that Microsoft's Agent 365 platform has already registered nearly 40 million AI agents across thousands of companies, just two months after launch. The rapid adoption highlights how quickly enterprises are integrating agentic AI into daily workflows. Source: bundle.app
Anthropic's Opus 5 suggests that more capable LLMs may demand a different approach to context engineering rather than just plugging into existing agentic setups. This shift could significantly affect how customer experience teams design their AI-driven workflows. Source: opusresearch.net
MIT's Ethan Mollick has released timely advice on how to delegate tasks effectively to AI agents, as agentic AI makes large language models feel increasingly human-like. The guide comes as businesses grapple with practical ways to hand off work to autonomous systems. Source: forbes.com
H2O.ai announced that its H2O AI Super Agent has landed the number two position worldwide on the FutureX Overall Leaderboard. The company positions its platform as a sovereign enterprise solution combining predictive, generative, and agentic AI with built-in observability and governance. Source: businesswire.com
As the market for AI agent observability tools grows rapidly, enterprises face a tough choice on which monitoring solutions actually fit their needs. Groundcover argues that telemetry data from AI agents should never leave a company's own cloud environment. Source: venturebeat.com
Google has moved agent and model evaluation features in its Gemini Enterprise Agent Platform to general availability. The tools let businesses measure AI agent quality with consistent metrics throughout the entire journey from development to production. Source: developers.googleblog.com
Bedrock Data has introduced Agent DLP, a data loss prevention product specifically built for AI agents. The launch comes alongside research indicating that many AI agents are initially granted far broader data access than they actually need. Source: itbrief.asia
Developing sophisticated AI agents typically involves handling intricate integrations, memory systems, and conversation flows. Frameworks like ADK-TS are designed to streamline this process by offering a more comprehensive toolkit for agent development. Source: trendhunter.com
When assigning a task to a coding agent, writing the actual code is often not the hardest part. The real challenge is verifying that the agent correctly understood what was being asked before it starts making changes. Source: towardsdatascience.com
NVIDIA outlines methods for deploying AI agents more securely as they increasingly act as digital coworkers in enterprise workflows. The blog highlights practical steps to reduce risk while keeping the benefits of agentic automation. Source: developer.nvidia.com