Anthropic launches Claude Opus 4.6 featuring agent teams, adaptive thinking, 1M token context window, and state-of-the-art performance on Terminal-Bench 2.0 and Humanity's Last Exam.
A beginner-friendly explanation of AI agents, covering what makes them different from chatbots, real-world examples, key frameworks, and the growing agent economy.
Z.ai releases GLM-5, a 744B parameter open-source Mixture-of-Experts model purpose-built for agentic tasks, scoring 77.8% on SWE-bench Verified and 56.2% on Terminal-Bench 2.0.
A beginner-friendly guide to building your first AI agent with Python, covering core concepts like LLMs, tools, and memory, with a practical example using LangChain.
Everything you need to know about the Model Context Protocol (MCP): what it does, why it matters, which frameworks support it, and how to use it with real-world examples.
The AI agent market reached $7.6 billion in 2025 with 49.6% projected annual growth. Gartner confirms 40% of enterprises will have dedicated AI agent teams by end of 2026.
