Connect the Ollama local model to OpenClaw: Select a model that supports tool calling, confirm the native 11434 port and provider configuration, restrict permissions, and check the long-term memory and log compression of TencentDB Agent Memory.
Install TencentDB Agent Memory for OpenClaw: Use local SQLite + sqlite-vec to save long-term memory, enable tool log offload on demand, and trace back the original evidence by node_id.
Install Archify to Codex CLI or Claude Code, generate architecture diagrams and flowcharts from the repository, and export SVGs that can be switched with light and dark themes. Contains global, project-level and temporary trial methods.
Use Orca to put Codex and Claude Code into independent Git worktrees for parallel execution, compare diffs, tests, and risks; receive completion notifications, send follow-up questions, and retain manual merge approval through the mobile companion app.
Use Impeccable to add front-end design auditing to your AI programming workflow: initialize PRODUCT.md/DESIGN.md, execute audit, check for accessibility, performance, and responsiveness issues with 46 deterministic rules, and include reports in acceptance.
Use Archify to generate architecture, process, timing and data flow diagrams for Codex CLI, Claude Code or opencode. Contains installation commands, prompt word templates, HTML/SVG validation and chart layout anomaly troubleshooting.
Deploy the local memory plug-in of TencentDB Agent Memory: use SQLite and sqlite-vec to save long-term memory, enable tool log compression on demand, and connect OpenClaw, Hermes and OpenAI compatible local models through traceable links.
Orca puts terminal agents such as Codex and Claude Code into independent Git worktrees to run in parallel. This article explains applicable tasks, preparation steps, parallel splitting, result merging, and common conflict handling.
Interpret the temporary usage changes of Codex and ChatGPT Work: the 5-hour window does not equal unlimited usage. Explain the qualifications of shared quota, GPT-5.6 Sol, and Banked Reset and how to view the usage panel.
ChatGPT Work is designed for research and delivery tasks that require continuous advancement. This article explains how to split long tasks, use scheduled and monitoring tasks, and coordinate Chat, Work, and Codex in the new desktop version.
ChatGPT Sites can turn prompt words or compatible local projects into hosted websites. This article explains the creation, preview, save version, publishing, permissions and key checking process.
Google Stitch Skills provides design, construction, and assistance skills for Stitch MCP. This article explains Codex and Claude Code installation, dependencies, selective installation, and common configuration boundaries.
Astryx is an open-source React design system for human and Agent collaboration. Learn installation, themes, component constraints, and how to keep AI-generated frontend work consistent and reviewable.
Page-Agent can be embedded in a web page so AI operates the interface through the DOM. This guide covers setup, model configuration, form automation, MCP Beta, and login and permission boundaries.
Chrome DevTools MCP lets agents such as Codex and Claude Code inspect a real Chrome browser's network, console, and performance. This guide covers installation, Windows configuration, a debugging sequence, and sensitive-data boundaries.
OfficeCLI is a native command-line tool that does not require installation of Microsoft Office and allows AI Agents to read, create, modify, and render Word, Excel, and PowerPoint files. This article explains the installation, preview, template filling and secure delivery process.
CubeSandbox is a KVM sandbox service for AI Agents. This article explains when hardware-level isolation is required, how to plan for concurrency and network permissions, credential handling, automatic suspension, and cost tradeoffs.
DesktopCommanderMCP provides file search, differential editing, and terminal process control for MCP clients. This article explains the installation configuration, permission boundaries, Docker isolation and common troubleshooting of Claude Code and Codex.
The old outputs schema of the Gemini Interactions API has been removed. This article explains how to use steps, output_text, new SSE events, tool calls, and session history instead, and quickly locate common errors after migration.
Connecting to Grok 4.5 using the xAI API: OpenAI SDK compatible configuration, Responses API requests, price per million tokens, EU availability, and the correct way to set prompt_cache_key.
ChatGPT Work is geared toward research, documents, spreadsheets, and long-term tasks. This article explains how to get started with Work, set up Scheduled Tasks, understand plugin directory permissions, and when you should require manual approval.
GPT-Live is rolling out for ChatGPT Voice. Learn how to check availability, start a voice conversation, choose Instant, Medium, or High, and understand video, screen-sharing, and language limitations.
Claude Reflect is Anthropic's usage-review feature for summarizing Claude topics, frequency, and collaboration patterns. Learn what it shows, how to enable it, and its privacy boundaries.
Determining whether the BIOS's Above 4G Decoding should be turned on: conditions for modern 64-bit systems, multiple PCIe devices, and Resizable BAR, and how to recover if it doesn't boot.
When Antimalware Service Executable has high CPU for a long time, confirm the scanning objects and scheduled tasks, set only minimal exclusions for trusted high-frequency directories, and do not close Defender directly.
When using Codex in VS Code, complete setup and troubleshooting in the order of extension installation, login, workspace trusts, file permissions, and terminal environment.
Understand the short-term and weekly usage windows of Codex: confirm the actual reset time from the product interface, and distinguish between regular recovery, temporary compensation, and service exception notifications.
Place the Taste Skill into a Claude Code or Codex discoverable Skills directory, verify SKILL.md metadata and calling scope, and iterate on design constraints with minipages.
When M3U Playlist cannot be played in VLC, the reasons include playlist link errors, single channel failure, network restrictions, TLS certificates, and player cache.
Use iptv-org channel data and categorized playlists to narrow an M3U by country, language, or category, then verify whether public channel sources still play in your player.
Open public M3U playlists from iptv-org in VLC and troubleshoot dead links, player cache, network restrictions, and unavailable channel sources.
Use CC Switch to manage Provider switching for Claude Code and Codex: establish a verifiable single configuration first, then add local OpenAI-compatible APIs and multiple Providers.
When a Provider, MCP, or Skill change in CC Switch does not apply, troubleshoot the active configuration, target tool, process restart, and sync conflicts in that order.
Compare 9Router and CC Switch: the former centralizes model requests, routing, and fallback, while the latter manages Providers, MCP, Skills, and local configuration for AI CLIs.
Connect Claude Code to 9Router by verifying the API Base URL, Provider, and model or Combo name, then troubleshoot authentication, 404s, unavailable models, and routing failures in order.
Use actual power consumption, hardware depreciation, number of effective tasks, and output tokens to calculate the cost of running a local Agent on a consumer-grade graphics card, and determine the applicable boundaries between local deployment and cloud APIs.
Practical tutorial on deploying Whisper speech recognition locally on NAS: use faster-whisper to transcribe audio and video, select the tiny/base/small/medium model, output TXT/SRT, configure VAD filtering, CPU/GPU compute_type, and handle batch transcription and privacy boundaries.
Deploy local Agent in Ubuntu with Windows WSL2: Install WSL, start Ollama, local model verification, Codex OSS mode access, systemd service management and read-only permissions to get started, with troubleshooting of common GPUs, ports and paths.
Whether Ollama is sufficient for a NAS deployment depends on CPU, memory, available GPU, and target model, not hard drive capacity. This article gives the actual judgment and testing methods of CPU-only, 8GB/16GB memory, NVIDIA graphics card and Docker deployment.
Introduce how to make Codex use local large models: first use Codex OSS mode to connect to Ollama or LM Studio; and explain the advanced base URL configuration, verification steps and common limitations of OpenAI compatible APIs such as vLLM.
When vLLM prompts that the KV Cache memory is insufficient, reduce max_model_len first, and then adjust gpu_memory_utilization, concurrency and batch processing; this article explains FP8 KV cache, manual cache size, CPU offload and common OOM troubleshooting.
Introduces how to use LM Studio as an OpenAI compatible local API: starting the server, getting the model ID, calling chat completions, Python SDK configuration, streaming output, Embeddings and common 404/connection failure troubleshooting.
Organize the practical configurations for Ollama multi-model switching: ollama run, ps, stop, Modelfile alias, keep_alive, OLLAMA_KEEP_ALIVE and OLLAMA_MAX_LOADED_MODELS, and explain how to avoid models crowding out each other when there is insufficient memory.
When RTX 3060 12GB runs Qwen3, Qwen3-8B Q6_K is preferred; this article explains the trade-offs between Q5_K_M, Q8_0, 14B and 30B-A3B, and gives practical configurations of llama.cpp and Ollama.
OpenAI has released the GPT-5.6 model family, with Sol, Terra, and Luna tiers, max and ultra reasoning modes, and availability across ChatGPT, Codex, and the API.
A comparison of GPT-5.6 Sol, Terra and Luna with GPT-5.5, Claude Fable 5, Claude Opus 4.8 and Gemini 3.1 Pro Preview, covering evaluations, pricing and use cases.
A comparison of GPT-5.6 Sol, Terra, and Luna, including capability tiers, API pricing, use cases, and availability in ChatGPT and Codex, with guidance on choosing max and ultra modes.
A practical guide to reducing verbose Claude Code output: use temporary prompts, CLAUDE.md, output styles, custom slash commands, and output format rules so replies lead with results, validation, and risks.
A practical guide to compressing long AI coding prompts: turn goals, background, constraints, file scope, logs, and project rules into shorter, steadier task cards that coding agents can execute.
A practical guide to dividing work between Cursor, Codex, and Claude Code: use Cursor for IDE context and code location, Claude Code for terminal implementation and debugging, and Codex for parallel work, review, long tasks, and reusable workflows.