Understanding AI Agent Terminology: Harness, Scaffold, and What They Really Mean Core question this article answers: In the fast-moving field of AI agents, what do “harness” and “scaffold” actually mean? How do they relate to the model and the agent itself? And why does getting these terms right matter for building real systems? If you’re new to AI agents—or even if you’re already using tools like Claude Code or Codex—you’ve probably run into a wall of confusing terms. At ICLR 2026, researchers were still asking: “What do you mean by ‘harness’ and ‘scaffold’? I’ve heard a dozen different explanations.” This …
WeChat Is Building an AI Agent: From Super App to China’s First AI Operating System Core question of this article: Why did Tencent’s stock price jump more than 10% on a single piece of news about WeChat testing an AI Agent? The answer isn’t just about AI technology — it’s that WeChat might evolve from a super app into the first AI operating system that can actually get things done for you in China. In early June 2024, Tencent Holdings (HK:00700) saw its share price surge 10.46% to close at HKD 481.6, with a trading volume of over 477 billion …
Cyber Alchemy: When Your AI Stops Forgetting, You’re the One Who Needs Debugging “ Disclaimer: This post won’t cure your anxiety, but it will change how you look at AI agents forever. Have you ever had this experience? You spend an afternoon telling an AI about your coding style, your project structure, even that dependency you hate. The next morning, you open a new window and it blinks at you with the digital equivalent of “Who am I? Where am I? Who are you?” At that moment, you’re not talking to an assistant. You’re on a date with Drew Barrymore …
Stop Following Outdated Tutorials: The Most Stable 10-Step Guide to Hermes AI Agent (v0.13.0) Core question of this section: Why do so many Hermes tutorials fail to work? And what should a proper beginner’s guide for v0.13.0 look like? Writing yet another “from scratch” tutorial for a tool that’s been around for a while feels like chasing old hype. But after reviewing several older guides and walking through the latest v0.13.0 release myself, I realised this article is necessary. The biggest enemy of tools like Hermes isn’t complexity—it’s expired tutorials. An outdated guide is worse than no guide at all, …
Hermes Agent: Why Users Are Quietly Migrating to the Next Generation of AI Agents Core Question This Article Answers: In the rapidly iterating landscape of AI Agent technology, why has Hermes Agent triggered a massive community migration in just six weeks, and what is the fundamental difference between it and traditional Agent frameworks like Lobster (OpenClaw)? The hottest topic in the tech community recently is undoubtedly the phenomenal rise of Hermes Agent. In just six weeks, it has garnered over 30,000 Stars on GitHub, attracted 242 contributors, and undergone 8 major version iterations. Behind these numbers lies a pressing user …
Hermes Agent: When Tools Gain Time, They’re No Longer Just Tools Core question of this section: Why is Hermes Agent not just another chatbot, but a digital work entity that accumulates experience over time and grows with you? After migrating from OpenClaw to Hermes Agent, I gradually realized: what truly matters isn’t whether an Agent can call tools, but whether it can accumulate experience over time, refine its methods, internalize preferences, and ultimately become your long‑term cognitive extension. If we interpret “the 2026 Agent competition era” as simply “better models, smoother UIs, more tools,” we’re only scratching the surface. What’s …
The Evolution of AI Agents: Building Your Own Super Agent and Shifting from Executor to Orchestrator In an era where Artificial Intelligence is rewriting the rules of productivity, the pressing question is no longer “What can AI do?” but rather “How do I transform AI into a super agent that acts as my proxy, shifting my role from an executor to an orchestrator?” This comprehensive guide dissects the logic behind Agent evolution, the critical importance of Context, and how to build personal workflows using Skills to secure a competitive edge in the age of information asymmetry. The Essence of Agents: …
Build an AI Agent Company from Scratch: A Complete Guide to 6 Autonomous Agents Core Question: How can you build and operate an automated system of 6 AI agents from scratch without relying on complex frameworks like LangChain and requiring deep programming skills? With the assistance of an AI coding assistant and without needing to be an expert coder, you can build an automated system consisting of 6 AI agents. This system can autonomously execute tasks such as intelligence scanning, content writing, tweet posting, and data analysis. It holds 10-15 meetings a day, learns from experience, adjusts relationships, and even …
Baodou Computer: An Open-Source AI-Powered Desktop Automation System Using Doubao Vision Model Have you ever wished your computer could “see” what’s on the screen and perform tasks automatically based on your instructions? Imagine telling your PC to open a browser, search for something, click through results, or handle repetitive workflows without lifting a finger. That’s exactly what the Baodou Computer project aims to achieve. This open-source tool leverages AI vision capabilities to analyze screen content and execute mouse and keyboard actions, making desktop automation accessible and powerful. Built with a PyQt5 graphical user interface and powered by the Doubao vision …
In today’s rapidly evolving landscape of artificial intelligence, a fundamental challenge persists: how can we create AI systems that truly reason like humans when tackling complex, real-world problems? Traditional AI agents have struggled with tasks requiring multiple tools, long-term planning, and adaptive decision-making. The limitations of current frameworks become especially apparent when agents face environments with thousands of potential tools or require sustained interaction over many steps. DeepAgent represents a paradigm shift in how we approach this challenge. Instead of forcing AI systems into rigid, predefined workflows, DeepAgent unifies thinking, tool discovery, and action execution within a single, coherent reasoning …
Picture this: You’re a harried AI developer with a beast of a task on your plate—research the latest breakthroughs in quantum computing and whip up a structured report for your team. You fire up a basic AI agent, the kind built on a trusty while loop, and it dives in. It smartly calls a search tool, snags a bunch of paper abstracts, and starts piecing together insights. But before long, chaos ensues: The context window overflows with raw web scraps, the agent starts hallucinating wild tangents, loses sight of the report’s core goal, and spirals into an endless loop of …