#Linux bridge
116 related articles
·4 min
Tencent Marvis Hands-On: How Multi-Agent AI Takes Over Your Computer
Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.
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·7 min
Hermes Agent Deep Dive: An AI Agent Framework That Uses Fewer Tokens Than Open Cloud
Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.
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·5 min
The Complete Guide to OpenCode: Installation, Configuration, and Advanced Usage
A comprehensive guide to OpenCode, the open-source AI coding tool — covering installation (desktop/WSL), model config, rules files, custom commands, MCP extensions, and Agent SQL capabilities.
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·5 min
Reproducing GitHub Projects from Scratch: A Practical Step-by-Step Guide
A complete guide to reproducing GitHub projects from scratch: due diligence, virtual environments, dependency installation, script interpretation, and breakpoint debugging — helping grad students and junior developers run others' code efficiently.
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·4 min
Claude Code: A Complete Guide from Terminal Anxiety to AI Programming Mastery
Complete beginner's guide to Claude Code terminal version: master terminal basics, interactive sandboxes, Skills, MCP protocol, and sub-agent automation.
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·4 min
Deep Dive into Hermes Agent Architecture: Loop Mechanism, Memory System, and Gateway Design
Deep dive into Hermes Agent's core architecture: Agent Loop mechanism, three-layer memory system (Markdown/SQLite/external), Gateway multi-platform integration, context compression, and Cron jobs.
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·3 min
Complete Guide to OpenAI Codex: From Installation & Configuration to Automation in Practice
Complete guide to OpenAI Codex covering installation, permission setup, project management, skills reuse, plugin extensions, and automation tasks to turn Codex into a true project collaborator.
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·4 min
Ali Abdaal's Complete Hands-On Guide to Building AI Tools with Claude Code
YouTuber Ali Abdaal shares 3 months of Claude Code experience, building a YouTube tracker, Slack bots, and AI tools from scratch with his AI Flywheel method.
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·4 min
Kimi Agent Cluster in Practice: One Person Commanding 300 AIs to Collaboratively Build a Website
Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.
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·3 min
Essential for Embedded Development: Three Must-Have MCP Servers
Three essential MCP servers for embedded development: Debugger MCP, VS Code MCP Server, and Zephyr Official MCP — solving AI coding pain points like missing syntax checking and documentation access.
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·3 min
CLI-WeChat-Bridge: Remotely Control AI Command-Line Tools via WeChat
CLI-WeChat-Bridge is an open-source tool that bridges AI CLI tools like Codex, Claude Code, and Open Code to WeChat, supporting voice input, file transfer, and multi-CLI parallel switching.
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·3 min
The Complete Guide to OpenAI Codex CLI: From Installation and Configuration to Enterprise-Level Practice
In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.
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·3 min
Complete Guide to Installing and Configuring Claude Code in VS Code: A Detailed Step-by-Step Tutorial
Complete guide to installing and configuring Claude Code in VS Code, covering Node.js setup, API key configuration, CLI installation, settings.json setup, and troubleshooting tips.
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·3 min
Fireworks Platform Adds Nemotron 3 Ultra Post-Training Support: End-to-End Fine-Tuning and Deployment
Fireworks AI adds NVIDIA Nemotron 3 Ultra post-training support with SFT, DPO, LoRA, and full fine-tuning, enabling seamless train-to-deploy workflows for open-weight LLM customization.
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·3 min
Claude Code with Local LLMs: Token-Free Deployment Guide & Configuration
Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.
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·3 min
Claude Code Local Deployment: A Practical Guide to Connecting Local LLMs
Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.
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·3 min
DeepSeek + Claude Code: A Deep Dive into How AI Automatically Builds Simulink Models
A deep dive into how DeepSeek and Claude Code automatically build Simulink models, explaining the roles of five core tools and their collaboration logic.
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·3 min
Pre-Installation Setup for Codex: A Configuration Guide for Git, Node.js, and VS Code
A detailed guide to the three essential pre-installation steps for OpenAI Codex: installing Git, choosing and verifying Node.js, and setting up VS Code — all done in 15 minutes.
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·3 min
Deep Dive into Claude Cloud Agent Memory System Architecture: CMA Design Philosophy and Technical Choices
Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.
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·3 min
Codex MCP Getting Started Guide: Configuration Methods and Practical Applications Explained
A detailed guide to Codex MCP (Model Context Protocol): core concepts, two server types, configuration methods, and practical applications to help developers get started quickly.
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