wx-cli: The Rust-Based Command Line Tool for Querying Local WeChat Data
4 hours ago 高效码农Command-Line WeChat Data Access: A Complete Guide to wx-cli Central question of this article: Can developers and technical professionals query, search, and export their local WeChat data using standard terminal commands? Yes. wx-cli is a Rust-based command-line tool designed specifically for this purpose, offering millisecond query speeds, zero external dependencies, and a fully local architecture that keeps your data on your machine. Why Use a Command-Line Tool for WeChat Data? Core question: Why would technical users prefer a terminal interface over the standard WeChat client for data access? The WeChat desktop client is built for real-time messaging, not for bulk …
Unlock The Full Power of Hermes AI: A Complete Guide to Configuring Memory, Tools & Cost Control
1 days ago 高效码农From “Bare Install” to “Full Build”: The Complete Guide to Configuring Hermes AI Agent’s 5 Core Modules This guide answers one core question: How do you upgrade Hermes AI Agent from its default “bare install” to a fully configured build that unlocks long-term memory, web-wide perception, multimodal output, and fine-grained cost control? Ever felt like your AI assistant is running on factory settings? It can hold a single conversation but forgets everything you told it yesterday. It can answer questions but can’t go out and find new information. It burns through your Token budget, and you have no idea where …
OpenClaw 2026.5.12-beta.3: Granular Tool Permissions, Smoother Channel Integrations, and a Cleaner Plugin SDK
2 days ago 高效码农OpenClaw 2026.5.12-beta.3 Release: Finer Tool Permissions, Smoother Channel Integrations, and a Cleaner Plugin SDK We have just released OpenClaw 2026.5.12-beta.3. This update focuses on three main areas: granular per‑sender tool policies, stability and feature enhancements for mainstream messaging channels (Slack, iMessage, Discord), and plugin SDK clean‑up with better developer experience. There are also several practical improvements like automatic Gemini model ID migration, cron job inspection by ID, and session context visualisation. Whether you are a daily user, a self‑hosting operator, or someone building plugins on top of OpenClaw, this release brings valuable changes. 1. Gateway and LLM Providers: API‑Friendly Token …
Mastering Hermes Agent: Optimizing Memory & Automating Skills from Intermediate to Advanced
2 days ago 高效码农Mastering Hermes Agent: From Intermediate to Advanced Optimization Why Your Hermes Always Seems to Have Amnesia? Many users find Hermes frustratingly forgetful, but this isn’t a bug—it’s a feature. Hermes employs an agent-curated memory system that prioritizes efficiency over comprehensive logging. Let’s break down the underlying logic and practical solutions to harness its full potential. 🧠 The Brain Behind Hermes’ Memory System Dynamic Filtering Hermes selectively retains critical information (e.g., user preferences, environment facts) while discarding transient thoughts or trial errors. Example: If you say, “Always use Python 3.11,” it gets tagged for long-term storage, while casual comments like “I …
Hermes AI Agent v0.13.0: The 10-Step Guide That Finally Works After Outdated Tutorials
2 days ago 高效码农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, …
Gemini Deep Research API: Complete Guide to Building Autonomous Research Agents
3 days ago 高效码农How to Use Deep Research with the Gemini API: A Complete Developer Guide When you are faced with a long-horizon research task—something that requires searching across dozens of sources, synthesizing conflicting data, and compiling a detailed, cited report—the standard back-and-forth interaction with a chat interface often falls short. You need an agent that can operate autonomously, plan its approach, execute searches in the background, and return with a finished product. The Gemini Deep Research Agent is designed specifically for this workflow. Instead of waiting for a continuous stream of text, you hand off a complex research objective, and the system …
Hermes Agent Feishu Control: Master CLI Setup in 5 Steps
4 days ago 高效码农Here’s a fully localized, SEO- and GEO-optimized English blog post based on your Chinese content. It follows English reading habits, includes keyword-rich headings, a clear structure, and actionable takeaways. Title: How to Fully Control Feishu with Hermes Agent: A Step-by-Step CLI Guide Meta Description: Learn how to configure and use the Feishu CLI with Hermes Agent to take complete control of your Feishu workflows. Includes setup, authorization, verification, and real-world use cases. How to Fully Control Feishu with Hermes Agent: A Step-by-Step CLI Guide Author: Yue Ge Published: May 10, 2026 Reading Time: 8 minutes Introduction: Why Hermes + Feishu …
AI Agent Production: The Hermes + Honcho Framework for Building Trustworthy, Observable Systems
4 days ago 高效码农Hermes + Honcho + Hermes-LCM: Turning AI Agents from Demo Toys into Production-Grade, Trustworthy Systems This article answers the core question: How to build an AI agent system with continuity, observability, and repeatability, transforming it from a demo-only black box into a stable, reliable production-grade tool? The evolution of AI agents has long moved past the “flashy demo” phase. Yet most deployed agent stacks suffer from the same fatal flaw: they shine in controlled demos but break down in real-world production. At the root, we have long treated agents like magic rather than engineered systems—an AI agent without memory is …
How to Give Hermes Agent Persistent Browser Identity with Camofox for Reliable Automation
5 days ago 高效码农How to Give Hermes Agent a Persistent Browser Identity with Camofox Most AI agent browser demos fail the moment login sessions matter. Here’s how to make your Hermes agent remember who it is across multiple browsing sessions. You sign in once, the task ends, and the next run starts from scratch. That works fine for toy demonstrations. It’s disastrous for real workflows. Hermes offers a better path: you can run it against Camofox, a self-hosted anti-detection browser backend, and configure persistent browser sessions so cookies and logins survive across agent runs. This transforms browser automation from “stateless demo mode” into …
Hermes Multi-Agent Guide: AI Deployment From Solo Agent To Agent Army
6 days ago 高效码农From Solo Agent to Agent Army: The Complete Hermes Multi-Agent Deployment Guide Core question: When a single AI Agent is already powerful enough to handle research, writing, analysis, and coding, why build a multi-agent system at all? The answer lies in the compounding effect of specialization—multiple agents, each mastering one domain, working in parallel, will consistently outperform one generalist agent trying to do everything. Modern AI agents can independently complete complex tasks like research, writing, analysis, and programming, saving significant time and effort. Yet every single agent has boundaries: it can excel in one area, but cannot maintain peak performance …
Run Hermes AI on Android: Install Powerful Agents Without PC
7 days ago 高效码农Run Hermes Agent on Android: A Complete Guide to Installing AI Agents on Your Phone Without a PC Core Question Answered: Can I successfully run the powerful Hermes Agent solely on an Android device without an expensive computer or dedicated server? When people discuss advanced AI Agents like Hermes, the immediate assumption is often that they require high-performance desktop rigs, buzzing server racks, or complex cloud-based Docker containers. This perceived technical barrier often discourages casual users or hobbyists from exploring these powerful tools. However, thanks to advancements in mobile computing power and streamlined development environments, this assumption is now obsolete. …
One-Person Army: Building a 24/7 AI Development Team with Hermes Agent and Kimi K2.6
8 days ago 高效码农One-Person Army: Building a 24/7 AI Development Team with Hermes Agent and Kimi K2.6 What if you could command a full R&D team — spanning market research, product design, architecture, development, and QA — all by yourself, running around the clock? This isn’t science fiction. It’s an engineering reality you can build today using the Hermes Agent framework paired with the Kimi K2.6 code model. This article walks you through the entire process of assembling this multi-agent collaboration system and shares the core principles and hard-won lessons behind it. Part 1: The End Result — A Complete AI-Driven Development Journey …
OpenClaw 2026.5.5 Release: Critical Bug Fixes for Cross-Platform AI Agent Deployments
8 days ago 高效码农OpenClaw 2026.5.5 Release: Cross-Platform Messaging, Gateway Stability, and Developer Experience Fixes Explained OpenClaw officially shipped v2026.5.5 on May 5, 2026. This isn’t a feature-packed release — there are no new modules, no flashy UI redesigns. But if you’re running OpenClaw to manage multi-platform AI agent deployments, the sheer volume of fixes in this update touches nearly every pain point you’d encounter in day-to-day operations. From garbled Feishu topic routing to Discord heartbeat disconnects to TUI sessions resurrecting weeks-old messages on first boot — these long-standing issues have all been addressed. This article breaks down the fixes by functional module so …
From Idea to Algorithm: How a Moss Trading Agent with Hermes Builds Winning Strategies
9 days ago 高效码农Running a Moss Trading Agent with Hermes: A Complete AI Trading Workflow Core question: If you are already using Hermes, how can you build a fully functional Moss trading agent workflow—and what practical advantages does this setup provide? 1. System Overview: What Do Hermes and Moss Actually Do? Core question: What roles do Hermes and Moss play in an AI-driven trading system? In simple terms: Hermes is the agent runtime environment, while Moss is the trading engine. They serve distinct but complementary purposes: Component Role Key Capabilities Hermes Agent runtime environment Terminal control, file management, model orchestration, memory, Skill system …
DeepSeek TUI: The Complete 2026 Guide to Your 1-Million-Token Terminal Coding Agent
9 days ago 高效码农DeepSeek TUI Complete Guide: Running a 1 Million Token Coding Agent Inside Your Terminal Imagine this: you’re deep in a refactoring session inside your terminal. You suddenly need to analyze a dozen log files while cross-referencing API documentation from three different versions. What if an assistant could read files directly from your workspace, execute shell commands, search the web, and manage Git—without you ever taking your hands off the keyboard? DeepSeek TUI is exactly that kind of terminal-native coding partner. It’s not a browser plug-in, nor a web app that needs a separate runtime. It’s a single Rust binary. If your …
Dual Telegram Bot VPS Deployment: Ultimate Guide to Running Hermes in Production
11 days ago 高效码农Deploying Hermes to VPS with Dual Telegram Bots: A Battle-Tested Guide to Stable Production Setup Introduction: The Real Challenge Isn’t Installation — It’s Keeping Everything Running This guide answers one core question: How do you deploy Hermes reliably on a VPS and run two Telegram Bots simultaneously without them stepping on each other? Many people assume that seeing hermes –version produce output means the job is done. It doesn’t. The real difficulty was never getting Hermes installed. It lies in making it run stably over time, wiring Telegram into the system properly, letting systemd manage the process lifecycle, and ensuring …
How to Regain Focus in the AI Age: 4 Practical Strategies to Stop Endless Learning and Start Meaningful Work
12 days ago 高效码农How to Keep Your Focus in the AI Era Have you lost touch with the feeling of being fully absorbed in your work? When you’re doing task A, is your mind already racing through task B? Compared to last year, AI has definitely made you more productive on paper. But do you actually feel more scattered and restless than before? If your answer is “yes,” this article is worth reading to the end. 1. Why Learning Feels More Exhausting Than Ever The endless chase of what’s hot Here’s a pattern I see in most people learning AI today: they …
Hermes Web UI Face-Off: Vue Dashboard vs Python CLI Clone for AI Agent Management
13 days ago 高效码农Deep Dive: Hermes Web UI Comparison – Vue Dashboard vs. Python Lightweight Terminal Core Question: What are the fundamental architectural and functional differences between the full-featured Vue dashboard and the native Python lightweight interface when building a visual control center for Hermes Agent? As Hermes Agent matures into an autonomous AI entity with persistent memory and execution capabilities, the community has birthed two distinct Web UI implementations. One is the modern, full-stack Hermes Web UI (referred to here as the “Vue Version”), which pursues a comprehensive dashboard experience. The other is the native, lightweight Hermes WebUI (referred to as the …
Agent Harness: The Secret Infrastructure Behind Production-Grade AI Agents
14 days ago 高效码农Agent Harness: The Core Infrastructure for Building Production-Grade AI Agents Have you ever faced this frustrating situation? You spend a lot of time building an AI chatbot that responds accurately and uses tools to complete simple tasks in demos. But when you try to turn it into a production-grade application, everything falls apart—the model forgets what it did a few steps ago, tool calls fail silently, and the context window gets filled with useless information, causing the entire agent’s performance to plummet. If you blame the large language model (LLM) itself, you’re probably looking in the wrong direction. The real …
How I Built a Fully Automated Coding Agent: Big Models for Planning, Small Models for Execution
14 days ago 高效码农How I Built a Fully Automated Coding Agent MVP: Big Models for Planning, Small Models for Doing I recently set out to test a counterintuitive hypothesis: In multi-agent orchestration, non-reasoning small models can sometimes outperform reasoning large models in cost and speed. To verify this, I built a minimal viable product (MVP) called hero-coding. I ran the same harness against three model groups: ChatGPT 5.4, Ling-2.6-flash, and Ling-2.5-1T. The results overturned my initial assumption: it’s not simply “small models win,” but rather “the right model in the right place wins.” Here’s the full breakdown of how it works, how to …