Based on the official session-management reference, this article organizes the common ways to use named browser sessions, session isolation, persistent profiles, concurrent usage, and cleanup commands in Playwright CLI.
A concise summary of M.2 pinout documentation, preserving the Pinout Description tables for Key E, Key B, and Key M sockets, with English notes added.
Based on the official storage-state reference, this post summarizes the common Playwright CLI commands for storage state, Cookies, localStorage, sessionStorage, and IndexedDB with concise explanations.
Based on the official HKUDS/OpenHarness repository and README, this article summarizes OpenHarness's positioning, core capabilities, ohmo's personal-assistant features, and the scenarios it fits best.
Based on the latest microsoft/playwright-cli README, this guide walks through Playwright CLI's positioning, installation, skills workflow, session management, monitoring dashboard, and essential commands.
A practical Hermes Agent guide covering what Nous Research's open-source AI agent does, how to install it, its memory and MCP features, and how it compares with OpenClaw.
OpenClaw introduced Dreaming, a memory consolidation system modeled on light sleep, deep sleep, and REM to help agents retain signal and discard noise.
A short introduction to what llama-quantize does, its basic commands, common options, and the tradeoffs between model size, speed, and quality.
Download GGUF models from Hugging Face with llama.cpp, use compatible endpoints, and understand when a non-GGUF model needs conversion first.
Use a small Python script to read credentials from `auth.json`, call ChatGPT's `/backend-api/wham/usage` endpoint, and inspect remaining Codex quota plus reset times.
A brief explanation of what `it` and `31B` mean in Gemma-4-31B-it, and why `it` is usually the right choice for chat use.
Choose the right Llama GGUF quantization for local LLMs: Q8, Q6, Q5, Q4, Q3, and Q2 tradeoffs for quality, RAM, VRAM, and Hugging Face downloads.
Expose Ollama API to your local network on Windows by setting the host, allowing firewall ports, and verifying with curl.
A quick comparison of CH224K, HUSB238, HUSB237, IP2721, and XSP series decoy chips for USB PD power design.
A practical breakdown of the fnOS AI photo stack, covering face recognition, object detection, semantic search, and hardware acceleration.
A practical setup note for pulling Xiaomi camera RTSP via go2rtc and using it across NVR, HomeKit, and Frigate.
A concise guide to main local runtime paths for Gemma 4, including Ollama, LM Studio, llama.cpp, and developer-oriented integration.
Across cost, reliability, training distribution, and security model, here is why more agent workflows are returning to CLI-first.
A concise guide to PersonaPlex capabilities, setup, and prompting, including server launch, offline evaluation, and role/voice control.
A concise breakdown of Anthropic's latest practice across session, harness, and sandbox, and why agent architecture is moving toward stable abstractions with recoverable execution.
A harness-based view of OpenClaw: the model remains the core, while autonomy comes from the engineering combination of memory, tools, triggers, and execution loops.
An overview of the product-cutout-normalize Agent Skill, including its purpose, usage, parameters, and the full source code for SKILL.md and scripts/run_pipeline.py.
Based on a practical Python example, this article explains how to use Google Nano Banana for product-image background removal while preserving the full source code.
A brief explanation of what Ollama cloud models are, how they differ from local models, and how to use them from the command line or via API.
If CPU, memory, or network data in Windows Task Manager stops updating for a long time, a common cause is that the refresh speed was accidentally set to Paused.
If a model does not have a ready-made Ollama version, you can download the GGUF file from Hugging Face and import it into Ollama with a Modelfile.
When `ollama pull` is slow, times out frequently, or gets interrupted, it helps to identify the real download path first and then troubleshoot the redirected object storage domain.
Based on public information from January to April 2026, this article outlines the process, key milestones, and current status of the Anthropic-OpenClaw developments.
From LM Studio CLI deployment to LAN access and editor integration, this article benchmarks how usable Gemma 4 is on Raspberry Pi 5.
From starting the Ollama API to configuring OpenClaw, this guide walks you through connecting local Gemma 4 end to end.
Run Gemma 4 quickly on Mac, Windows, and Linux laptops with Ollama, plus model selection and performance tips.
From APK installation and model download to multimodal usage, this guide walks you through running Gemma 4 on Android.
A beginner's guide to memory die identification using Samsung, Micron, and SK hynix examples, including common markings, code fields, and practical boundaries.
Use the local `git-commit-push-zh` skill to replace VS Code's commit message generation and keep a standardized commit/push workflow.
Use `ollama ps` to quickly verify whether a model is running on GPU, CPU, or a CPU/GPU mixed memory setup, and learn how to read the `PROCESSOR` column.
A reusable deep dive into the sync-post-translations skill: goals, rules, configuration code, usage examples, and quality checklist.
A practical Ollama model storage path guide covering default model directories on Windows, macOS, and Linux, how to move models off the C drive, and how to use OLLAMA_MODELS safely.
A practical, executable guide to fully remove Ollama on Linux by stopping and removing its service, binary, model files, and system user/group.
A practical guide to LLM quantization, common format differences, and VRAM-based model selection to balance quality, speed, and resource cost.
Compare Gemma 4 2B, 4B, 26B, and 31B models by VRAM needs, performance positioning, practical use cases, and local model selection trade-offs.
Based on SKILL.md and the supporting scripts under Anthropic's skills/docx, this post breaks down the docx skill's capability boundaries, code structure, practical workflow, and common pitfalls.
A practical comparison of two remote-access options for Feiniu NAS: direct public IP access and FN Connect, including setup points, pros/cons, and usage recommendations.
A practical guide to JMicron chip top-mark and part-number coding for identifying vendor, package, temperature grade, mask version, and IC revision.
A beginner-friendly CH347 resource roundup: official page, Windows drivers, SPI Flash programming tools, and troubleshooting tips.
A practical Certbot auto-renew guide with a cron example, Nginx pre/post hooks, renewal verification, and troubleshooting tips.
A practical guide to FFmpeg `-map`: stream naming, multi-input composition, negative mapping, and optional mapping.
A practical guide to choosing a home printer based on real usage: laser vs. inkjet, connectivity options, duplex printing, and paper tray setup.
A practical VS Code high-CPU troubleshooting guide: use Start Extension Bisect to quickly isolate problematic extensions, then optimize search and file watching settings.
Learn how rsync --delete mirrors and cleans target directories, with safer command patterns, dry-run checks, and precautions before removing files.
Learn how Git tracks executable permissions on Linux, with practical commands to add, remove, and verify the executable bit.