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.
Sea rolls out Codex across its entire engineering organization and bets on AI-native development
How to Build a Streaming Decision-Making Agent with Online Replanning in a Dynamic Environment
Google launches Gemini on Samsung Galaxy S26: AI will order taxis, food, and purchases
1Password launches Unified Access to protect logins, tokens, and secrets used by AI agents
1Password introduced Unified Access, a platform that helps companies find vulnerable credentials, grant access to AI agents on demand, and t
LangChain: Large companies are deploying AI agents into production faster than startups
LangChain's agent engineering report shows an unexpected shift: large companies are already deploying AI agents into production more often t
IBM released Mellea 0.4.0 and Granite Libraries for verifiable AI pipelines
Paperclip turns a swarm of AI agents into a manageable “one-person company”
Agentic SOC in 2026: how AI agents accelerate cyber defense and where autonomy becomes dangerous
AWS showed how to connect Amazon Bedrock AgentCore to Slack via CDK and Lambda
Bloomberg unveiled ASKB: agentic AI built directly into Terminal for finance teams
At the Bloomberg Family Office Summit in Hong Kong, the company unveiled ASKB — an agentic AI built into Terminal for multi-step work with m
AWS explained how to deploy Pipecat voice AI agents in Bedrock AgentCore Runtime
AWS released the first part of a guide to deploying Pipecat voice agents in Bedrock AgentCore Runtime and compared WebSockets, WebRTC, TURN,