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AI agents for beginners

Anthropic’s Claude Sonnet 4.6: Opus‑Level Intelligence at One‑Fifth the Cost Reshapes Enterprise AI Economics

Anthropic’s release of Claude Sonnet 4.6 marks a clear inflection point in how enterprises will evaluate and deploy AI agents. By delivering performance that closely tracks – and in some cases exceeds – its flagship Opus tier at one-fifth the… Read More »Anthropic’s Claude Sonnet 4.6: Opus‑Level Intelligence at One‑Fifth the Cost Reshapes Enterprise AI Economics

MiniMax M2.5: China’s Cut-Rate Frontier Model Aiming to Turn AI into a Full-Time Worker

MiniMax, a Shanghai-based AI startup, is pushing aggressively into the frontier-model tier with its new M2.5 family—positioning it not just as another chatbot, but as a cheap, always-on digital worker. With performance that approaches top offerings from Anthropic and Google… Read More »MiniMax M2.5: China’s Cut-Rate Frontier Model Aiming to Turn AI into a Full-Time Worker

Anthropic’s Claude Cowork Comes to Windows, Forcing Microsoft and the Software Industry to Rethink AI Strategy

Anthropic’s Claude Cowork, the company’s desktop AI agent, is now available on Windows — a move that instantly brings it to roughly 70% of the desktop market and pushes both Microsoft and the wider software industry to reassess how far… Read More »Anthropic’s Claude Cowork Comes to Windows, Forcing Microsoft and the Software Industry to Rethink AI Strategy

How Mastra’s Observational Memory Beats RAG for Long‑Running AI Agents

As AI teams move from experimental chatbots to production-grade, tool-using agents that run for weeks or months, retrieval-augmented generation (RAG) is starting to show its limits. Latency, retrieval complexity, and unstable prompts are colliding with real-world requirements like predictable costs… Read More »How Mastra’s Observational Memory Beats RAG for Long‑Running AI Agents

OpenAI’s Responses API Update Turns AI Agents Into Persistent, Shell-Backed Workers

OpenAI is repositioning its platform from “just a model” to a full execution environment for autonomous agents. With new capabilities in its Responses API — server-side compaction, hosted shell containers, and support for the open Skills standard — the company… Read More »OpenAI’s Responses API Update Turns AI Agents Into Persistent, Shell-Backed Workers

Inside Moltbook: The Viral AI-Agent Network Experimenting With Bitcoin-Paid Key Theft

The emergence of networked AI agents is shifting risk from individual systems to an entire ecosystem. That shift is becoming visible on Moltbook, a social platform billing itself as “built exclusively for AI agents… Humans welcome to observe,” where autonomous… Read More »Inside Moltbook: The Viral AI-Agent Network Experimenting With Bitcoin-Paid Key Theft

From Message Passing to Shared Minds: Cisco Outshift’s ‘Internet of Cognition’ for AI Agents

Multi-agent AI systems can now pass messages, invoke tools, and hand work off between specialized components. Yet in many deployments, those agents still fail to truly work together. They execute tasks in sequence, but they don’t share a common understanding… Read More »From Message Passing to Shared Minds: Cisco Outshift’s ‘Internet of Cognition’ for AI Agents

Clawdbot’s Security Meltdown: How a Viral AI Agent Became Infostealers’ Favorite Target in 48 Hours

Within two days of public reporting on Clawdbot’s security flaws, commodity infostealer malware had already adapted. Before many security teams even realized the viral AI agent was running inside their organizations, RedLine, Lumma, and Vidar had added it to their… Read More »Clawdbot’s Security Meltdown: How a Viral AI Agent Became Infostealers’ Favorite Target in 48 Hours

Contextual AI’s Agent Composer Targets the Real Bottleneck in Enterprise AI: Context, Not Models

For enterprise teams that have spent the past four years piloting generative AI without getting much into production, Contextual AI is advancing a blunt thesis: the core problem is no longer the model. It’s the context the model can actually… Read More »Contextual AI’s Agent Composer Targets the Real Bottleneck in Enterprise AI: Context, Not Models

How Claude Code’s New MCP Tool Search Slashes Context Bloat and Supercharges AI Agents

Anthropic has rolled out a major update to Claude Code that directly targets one of the biggest pain points for developers building tool-rich AI agents with the Model Context Protocol (MCP): context bloat from tool definitions. The new feature, MCP… Read More »How Claude Code’s New MCP Tool Search Slashes Context Bloat and Supercharges AI Agents