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.
AgentTrove: how to use the 1.7M agent trace dataset in Python
AgentTrove is the largest open dataset of agent interaction traces: 1.7 million examples in ShareGPT format. A Python tutorial shows how to
Nous Research released Tool Search for Hermes Agent: accuracy improved by 49–74% with Opus 4
Nous Research solved the problem of context bloat in MCP by adding smart tool search. The system selects only relevant schemas and improves
NVIDIA Releases Polar — Framework for Training Code Agents
Google Redesigns Payments for AI Agents: Universal Commerce Protocol
AWS Launches AgentCore to Manage Dozens of AI Agents in Sales
85% of companies want to implement AI-agents, but 76% are not ready for the change
Mistral Medium 3.5: Cloud Agents and New Work Mode for Complex Tasks
Mistral AI launched a new 128B Medium 3.5 model and moved coding agents to the cloud—now they work asynchronously and in parallel while deve
Mistral AI Unveils Industrial Stack and Vibe Agent
Mistral AI unveiled its industrial stack at the AI Now summit, introduced the integrated Vibe agent for long-term tasks, and announced const