AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
AWS Bedrock AgentCore added built-in safeguards for payment systems
Amazon Bedrock introduced new AgentCore payments module with built-in restrictions for secure AI agent deployment handling payments.
Xebia: AI Agents Fail Without Proper Data Foundation
Consulting firm Xebia explains why the success of autonomous AI agents depends primarily on data quality and availability, not on the models themselves.
Nous Research presented Hermes Agent profile builder
New Hermes Agent interface replaces multi-step CLI configuration — users now assemble agent profiles in a single dashboard flow.
NVIDIA NemoClaw: AI Agents with Deny-by-Default and Human Approval for Sensitive Code
OpenAI Releases GPT-5.6 and ChatGPT Work: Agent for Multi-Stage Tasks
Raiffeisenbank deployed AI agents to 500 engineers, but speed didn't increase. Why
MTS: From RAG to Agents — Analyzing Jira Tickets via MCP and Logs
AI Agent Orchestration Proved More Important Than Model Selection: arXiv Research
Research showed that optimizing the AI agent orchestration layer reduces costs more than switching to another model: 41% savings while maintaining quality.
Why AI infrastructure must evolve for agents — Akshat Bubna, CTO Modal
Modal's CTO explains how cloud infrastructure must change to support long-lived AI agents instead of short-lived functions.
HALE Framework Combines LLMs and Large-Scale Epidemic Simulations
AgentLens: code-agents evaluation shifts from outcome to process
Tencent Considers Buying Controlling Stake in Manus, Leading Agentic AI Company
AWS published 6 approaches to optimizing MCP tools to save context
AI Agent for Business: How Lyzr Raised $100M Using Its Own Agent
Startup Lyzr, a developer of AI agents for enterprises, raised a $100M round, letting its own agent run the fundraising process as a proof of concept.
NVIDIA BioNeMo Agent Toolkit: accelerating protein structure prediction
NVIDIA has introduced the BioNeMo Agent Toolkit to orchestrate AI agents that automate the full protein structure prediction and co-folding pipeline, accelerating…