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Catchers Helpdesk WordPress Plugin: Catch Your Client’s Dreams

By Peter Nilsson Support & Helpdesk
Catchers Helpdesk WordPress Plugin: Catch Your Client's Dreams

An easy way to turn visitors into customers is to use the Catchers Helpdesk WordPress Plugin. This plugin specializes in enabling website administrators and support team to provide help for customers through interaction in real time. In this way, after problems are detected and reported, they will immediately be notified to the support…

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WP Tab Widget Pro – A WordPress Tab Plugin That Increase Pageviews

By Peter Nilsson Widgets
WP Tab Widget Pro

As a website owner, of course, you want to increase your visitors and pageviews. But it’s not as simple as it sounds. Trust me, I have been working with WordPress for over ten years. But finally, I have found a great solution that works and can help you out to increase pageviews by…

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      • Best 5 Git‑Hosting Platforms With Built‑In CI/CD Pipelines That Small Teams Use to Ship Code Without External Tools (e.g. GitLab, SourceHut, etc.)

      • Solved: Discord a fatal Javascript error

      • Yes, Cursor AI has a built-in "Memories" feature designed specifically to track and retain project context and key decisions across different conversations and sessions. How Cursor AI Manages Memory By default, without specific memory features enabled, the AI's "working memory" is limited to the current chat session's context. However, the "Memories" system overcomes this limitation through the following mechanisms: Automatic Context Retention: A separate, "sidecar" AI model monitors your conversations and suggests key details or decisions to save as memories. Once approved, the AI can recall this context later, eliminating the need to repeat yourself. Rules and Memory Files: Memories are often stored as structured Markdown files within a specific project directory (e.g., .cursor/rules), which can be version-controlled with your code. The AI automatically injects the content of these files into the context for every relevant operation, ensuring consistent behavior according to project guidelines. Model Context Protocol (MCP) Integration: Cursor integrates with external tools and community projects (like Basic Memory or the Pieces connector) via the MCP to enhance its long-term memory capabilities. These integrations allow the AI to access a persistent, queryable knowledge base derived from your entire workflow history, project files, and even external data like Slack messages or Jira tickets. Codebase Indexing: The AI creates embeddings (numerical representations) of your entire codebase, which allows it to perform semantic searches and understand the project's architecture without needing the full code in every prompt. In summary, while basic AI models are often stateless, Cursor provides robust, explicit features to ensure the AI retains knowledge across sessions, acting as a more consistent and informed pair programmer. You can manage these settings to tailor how much context is shared and retained using the Cursor documentation on Data Use & Privacy and Codebase Indexing

        Artificial intelligence waifu: AI Companions

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        Top 4 Lightweight Tag Managers & Event-Tracking Helpers That Marketers Use to Fix Missing Conversion Events Quickly

      • Top 7 Tools for Automating Creator Payouts and Affiliate Commissions That Small Marketplaces Use to Avoid Manual Errors

      • The Algorithm’s Translator: How Multilingual Captions Hack Discoverability

      • Free artificial intelligence videos and Documentaries

      • Method to Unshift Javascript Arrays

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