OpenStation vs RAG Chat for Amazon Bedrock

wp-admin forgets. OpenStation doesn’t. You know the moment. You’re deep in a post and you need one image from the Media Library. You click over, find it, click back, and everything you had going is gone. Your scroll position, your half-typed thought, the three other things you had queued up in your head. That’s not a bug you hit. That’s the design. wp-admin shows you one screen at a time, and every navigation throws the last one away. It has worked this way since 2003, like a fridge that empties itself every time you close the door. WordPress has rebuilt almost everything else. The editor, the site editor, the patterns, the styles. The admin’s one-screen-at-a-time model is the layer nobody touched. OpenStation touches it. Install it and admin screens become draggable, resizable windows. Edit a post while the Media Library sits open next to it. Drag an image from one window straight into the other. Keep comments open in the corner. Reload the browser and your window layout — open pages, positions, sizes, and window states — comes back where you left it. OpenStation itself is free, GPL, and opt-in per user. One click in the admin bar turns it on for you. One click turns it off. Nobody else on your site sees anything change, and deactivating the plugin restores the classic admin exactly. No Core patches and no lock-in. Optional AI providers may charge for their service. Built and maintained by Automattic, the company behind WordPress.com, Jetpack, WooCommerce, and Tumblr. Work on more than one thing at once Admin pages open as windows, including pages added by most other plugins. Drag them, resize them, snap them, tile them, minimize them to a taskbar. The admin menu becomes a dock of icons. Two editors open at once is one click away. Never lose your place Moving between open windows leaves each page in place. Across reloads, OpenStation remembers your open pages, window positions, sizes and states, virtual desktops, and focus. Closing a window with unsaved changes warns you first. A desk you can actually put things on Drop posts, media, and links right onto the wallpaper. Sort them into folders. Trash them to a Trash that actually holds things. The stuff you’re working on this week can just sit out where you can see it. One desktop per job Virtual desktops, the way your operating system does them. One for writing. One for the store. One for comment triage. One for that redesign you keep poking at. Switch between them without closing anything. Find anything with Cmd+K The full WordPress command palette, plus slash commands from your plugins, all under one keystroke. Turn on the optional AI assistant and you can ask it things like “which post had the comment asking for the recipe?” and it searches your own content to answer. (Requires an AI provider configured in Settings → Connectors on WordPress 7.0+. Details under “External services” below.) See how your site fits together The Corkboard is an interactive, zoomable map of how your posts, pages, and products link to each other. Pan around it. Find the orphans. Find the hubs. Running a store? Orders, Products, Coupons, and Customers become browsable folders with stock and sale ribbons. Open a customer to see their lifetime spend and what they buy most. Follow a product to its buyers, or a coupon to who redeemed it. Make it yours Wallpapers, from color presets to animated scenes to your own photo. Live widgets pinned to the desktop: drafts, stats, recent comments, a focus timer. Uploadable desktop themes, including a built-in Legacy theme that brings the old WordPress blue back in one click. And Mio, a soft-body desk companion that drifts across your wallpaper and gets bumped around by your windows. Off by default. You’ll turn it on. For developers Extend OpenStation through documented PHP and JavaScript APIs. Register windows, icons, wallpapers, widgets, commands, and settings tabs through stable openstation_register_* PHP APIs and a typed JavaScript API; customize dock items through documented hooks; add AI tools with the WordPress Abilities API. Copy-paste examples live in the developer docs on GitHub. External services No external service is required for OpenStation’s desktop interface. The optional AI Assistant and two user-initiated enrichment features make the external requests described below. AI Assistant The optional AI Assistant sends data to the AI provider you configure in WordPress’s Settings → Connectors (for example OpenAI, Anthropic, or Google). Generation is routed through WordPress 7.0’s built-in AI Client, which supplies the credentials stored in Connectors. The plugin never handles an API key itself. With no provider configured in Connectors, no external AI requests are made. When the AI Assistant is enabled and a user invokes it (via Cmd+K or the slash-command palette): What is sent: the user’s prompt, the conversation history for the active session, and tool-call metadata. The plugin’s built-in tools (search_posts, search_pages, search_comments) run WordPress’s native keyword search and may include excerpts of the matching posts/pages/comments in tool results, which are then sent back to the provider as part of the agentic loop. When it is sent: on user-initiated AI requests, and (if an administrator enables “Score new comments with AI”) on comment-save hooks for spam analysis. Posts, pages, and taxonomy terms are not sent automatically. Why it is sent: to obtain model completions and tool-call decisions that drive the AI Assistant. Who provides the service: whichever provider you configured in Settings → Connectors. Which provider (and endpoint) receives the data depends entirely on that configuration. Review the chosen provider’s own terms and privacy policy (e.g. OpenAI, Anthropic, or Google). URL shortcut favicons When an authorized user creates a desktop shortcut to an external URL, OpenStation asks that URL for its page HTML and favicon so the shortcut can display the site’s icon. The request is made from your WordPress server and sends the requested URL, the server’s IP address, an OpenStation user-agent string, and normal HTTP request metadata to the operator of that site. This happens only when a user creates the shortcut. The destination site’s terms and privacy policy apply. WordPress.org plugin information When an authorized user opens or refreshes parts of OpenStation’s Plugins window, OpenStation may request public plugin details, update metadata, and review excerpts from WordPress.org. These requests send plugin slugs, the site’s locale, and normal HTTP request metadata to WordPress.org. This information is used only to display and manage plugins. Review the WordPress.org Privacy Policy. OpenStation’s OAuth relay does not contact a service by itself. Third-party plugins that configure the relay may contact their own providers and are responsible for disclosing those services. Credits OpenStation is brought to you by Automattic. The plugin is open source under GPLv2-or-later; contributions are welcome on GitHub. Third-party libraries The plugin bundles the following third-party JavaScript library, loaded on demand only when a feature that needs it is in use: PixiJS (MIT License) — used by the Corkboard window, built-in canvas wallpapers (e.g. the animated WordPress logo), the Mio desk companion, and the Inkfall typing game. PixiJS is loaded from the plugin’s own assets/vendor/ directory; no CDN requests are made. Data files The Inkfall game’s word list (assets/games/inkfall/words.txt) is generated from the following sources (attribution also ships in the file’s header): FrequencyWords by Hermit Dave (CC-BY-SA 4.0) — English word-frequency ranking derived from the OpenSubtitles corpus. english-words by dwyl (Unlicense) — used as a validity filter. LDNOOBW English list (CC-BY 4.0) — used as an exclusion filter.

RAG Chat for Amazon Bedrock is a WordPress plugin that seamlessly integrates your WordPress content with Amazon Bedrock Knowledge Bases to create an intelligent RAG (Retrieval-Augmented Generation) chatbot system. Key Features: Direct Amazon Bedrock Integration: Connects directly to Amazon Bedrock Knowledge Bases without external servers Automatic Content Synchronization: Automatically syncs WordPress posts and pages to Amazon Bedrock when content is created, updated, or deleted Real-time Chat Interface: Provides a chat widget for visitors to interact with your content using AI Comprehensive Admin Interface: Four dedicated admin pages for configuration and content management AWS Security: Uses AWS Signature Version 4 authentication for secure API communication Content Management: Track sync status and manage which content is synchronized to Amazon Bedrock How It Works: Configure your AWS credentials and Amazon Bedrock Knowledge Base in the plugin settings New WordPress posts and pages are automatically synchronized to Amazon Bedrock when saved or deleted Existing content can be synchronized using the export function in the Content Management page Visitors can use the chat interface to ask questions about your content Amazon Bedrock retrieves relevant content and generates intelligent responses using your WordPress data Requirements: AWS account with Amazon Bedrock access Amazon Bedrock Knowledge Base configured Valid AWS credentials (Access Key ID and Secret Access Key) Demo: See the plugin in action: Live Demo Troubleshooting Plugin Installation & Setup Issues Plugin activation fails Ensure your WordPress version meets the minimum requirement (6.6+) Check that your PHP version is 7.4 or higher Verify there are no plugin conflicts by temporarily deactivating other plugins The chat interface doesn’t appear on my page Make sure you’ve inserted the shortcode [rag_chat_ab_chat] in the correct location Check that the plugin is activated Verify your AWS credentials are correctly configured in the plugin settings Content Synchronization Issues Content sync is failing Verify your AWS credentials have the correct permissions Check that your Knowledge Base ID and Data Source ID are correct Ensure your Knowledge Base has a “Custom” type data source For existing content, use the “Export Posts and Pages to Amazon Bedrock” feature on the Content Management page Export operation times out If you have many posts and pages, “Export Posts and Pages to Amazon Bedrock” may take a long time and cause timeout errors depending on your PHP settings. To reduce the risk of timeout: Export content in smaller batches by selecting specific date ranges Consider increasing your PHP execution time limit if you have server access Contact your hosting provider if timeout issues persist For large-scale exports, we offer a dedicated bulk export PHP script that runs independently on your server and can handle large volumes of content without web browser timeout limitations. Contact us at https://tally.so/r/3jjoga for more information about our bulk export solution AWS Authentication & Permissions AWS permission errors Double-check all required IAM permissions are granted to your user Verify your AWS Access Key ID and Secret Access Key are correct Ensure your AWS account has access to Amazon Bedrock in the selected region Check the AWS CloudTrail logs for detailed error information AWS Marketplace subscription error If you encounter “Model access is denied” with “aws-marketplace:ViewSubscriptions” permission errors: Your IAM user needs the aws-marketplace:ViewSubscriptions permission Add this permission to your IAM user’s policy Wait 15 minutes after fixing the permissions before trying again This is required for AWS Marketplace subscription completion Model Access & Configuration Model use case details required If you encounter an error like “Model use case details have not been submitted for this account. Fill out the Anthropic use case details form before using the model”: Anthropic requires use case details before using their models Fill out the Anthropic use case details form in your AWS console Wait 15 minutes after submitting before trying again See the AWS documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html Inference profile required error If you get an error like “Invocation of model ID anthropic.claude-haiku-4-5-20251001-v1:0 with on-demand throughput isn’t supported. Retry your request with the ID or ARN of an inference profile”: Some models require using inference profiles instead of direct model invocation Use the ID or ARN of an inference profile that contains the model Configure inference profiles in your Amazon Bedrock settings See the AWS documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html Chat responses are not working Verify that your AWS region is correct in the plugin settings Check that your Knowledge Base contains synchronized content Ensure your IAM user has bedrock:RetrieveAndGenerate permissions Try asking questions related to your synchronized content External services This plugin uses the following Amazon Bedrock API endpoints provided by Amazon Web Services, Inc.: PUT https://bedrock-agent.{$region}.amazonaws.com/knowledgebases/{$knowledge_base_id}/datasources/{$data_source_id} Called when a post or page is created or updated. Used to add / update content on Amazon Bedrock. The whole content (post or page) is sent. POST https://bedrock-agent.{$region}.amazonaws.com/knowledgebases/{$knowledge_base_id}/datasources/{$data_source_id}/documents/deleteDocuments Called when a post is deleted or moved to trash. Used to delete content from Amazon Bedrock. Only the post / page ID is sent. POST https://bedrock-agent-runtime.{$region}.amazonaws.com/retrieveAndGenerate Called when a visitor asks a question. Used to generate responses using Amazon Bedrock’s AI. The query that the user enters is sent. The response contains a session ID, and it will be send to this endpoint in the subsequent requests along with the query. Please see the following links for more information about Amazon Web Services: AWS Service Terms AWS Privacy Related Projects This plugin is based on WP RAG (https://github.com/mobalab/wp-rag), which provides RAG functionality using external servers and OpenAI’s APIs. RAG Chat for Amazon Bedrock offers a different approach by integrating directly with Amazon Bedrock Knowledge Bases for users who prefer AWS-native solutions.