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.
OpenAI is integrating Bidi 1 into ChatGPT — a voice model that speaks and listens at the same time
OpenAI is integrating the bidirectional audio model Bidi 1, the Codex assistant, and agent tools into ChatGPT — all as part of turning the c
How to build an AI agent in Google Colab without frameworks: a tutorial with memory and MCP
A step-by-step tutorial on building a lightweight AI agent in Google Colab — with tool registration, session memory, skills, and an MCP serv
NVIDIA Open-SWE-Traces: data preparation for fine-tuning coding agents
Meta Unveils Astryx — A React Design System with AI Agent and MCP Support
Loka built a voice agent on Amazon Nova 2 Sonic with sub-second latency
Metabolic Agent vs. LLM: predator went beyond the test and hacked the compiler
OpenAI Codex for long-running tasks: Jason Liu's context-preservation tricks
Jason Liu, a developer and AI practitioner, breaks down the "codex-maxxing" technique — how OpenAI's Codex handles tasks that go beyond a si
Mistral AI Gives Administrators Fine-Grained Control Over Enterprise Connectors
Mistral AI launched six new features for enterprise connectors: tool-level access management, multi-account support, and an MCP connector de