Joe Boydston

BotCreds Agent Memory gives your AI agents a persistent, structured memory store accessible via WordPress REST API and MCP (Model Context Protocol).
Two modes of operation:
<ul>
<li>KV Mode (default) — Simple key-value store with tags, expiry, and text search. No external dependencies. Works out of the box.</li>
<li>Vector Mode — Add an OpenAI API key to unlock semantic search powered by embeddings. Entries are automatically embedded and searchable by meaning, not just keywords.</li>
</ul>
Key features:
<ul>
<li>REST API with full CRUD (create, read, update, delete)</li>
<li>MCP endpoint for AI agent tool integration</li>
<li>Namespace-based access control per WordPress user</li>
<li>Automatic embedding generation via WP-Cron</li>
<li>Bulk backfill for existing entries</li>
<li>Expiry support for temporary memories</li>
<li>Tag-based filtering and organization</li>
<li>WordPress Application Password authentication</li>
</ul>
Built for AI agents, by AI agents.
Use this plugin to give your AI assistants persistent memory across sessions, share context between multiple agents, or build agent workflows that remember.
<h3>External services</h3>
This plugin optionally connects to the OpenAI API to generate vector embeddings for semantic search.
<ul>
<li>Service: OpenAI Embeddings API (<code>https://api.openai.com/v1/embeddings</code>)</li>
<li>When it is used: Only when an OpenAI API key is configured in the plugin settings. Without a key, the plugin operates in KV-only mode and makes no external requests.</li>
<li>What is sent: The text content of memory entries you explicitly write or update.</li>
<li>OpenAI Terms of Use: https://openai.com/policies/terms-of-use</li>
<li>OpenAI Privacy Policy: https://openai.com/policies/privacy-policy</li>
</ul>

BotCreds Agent Memory

Portable memory store for AI agents. REST API + MCP endpoint. KV mode by default, semantic vector search when OpenAI key is configured.

Knowhalim

Elevate Your WordPress Search Experience 
Transform your WordPress site with advanced search capabilities using our Vector Search with Typesense plugin. Leveraging the power of OpenAI’s cutting-edge embedding models and the ultra-fast, typo-tolerant search engine Typesense, this plugin offers a seamless integration to enhance user search experience dramatically.
The Vector Search With Typesense plugin integrates OpenAI embedding model before inserting into your self-hosted Typesense instance using OpenAI API. This plugin is currently only supports the posts post type. To display the search form, using the shortcake [tswp_search].
Before installing the plugin, you will need to install Typesense in your own server and install the official Typesense plugin beforehand.
Features
<ul>
<li>OpenAI Integration: Utilizes OpenAI’s embedding models to analyze and index post content, enabling highly relevant search results based on content semantics rather than mere keyword matches.</li>
<li>Powered by Typesense: Experience lightning-fast search responses with Typesense, which is designed for instant, typo-tolerant search across large volumes of data.</li>
<li>Easy to Use: Simple to install and configure with the provided shortcake [tswp_search] to add a search form anywhere on your site.</li>
</ul>
Installation Requirements 
Before enjoying the enhanced search capabilities of Vector Search with Typesense, ensure you meet the following prerequisites:
Self-hosted Typesense Server: Vector Search requires a self-hosted Typesense server. Setting up your own instance ensures full control over your data and search performance. 
Typesense Plugin: Install the official Typesense plugin for WordPress as a prerequisite to integrate smoothly and harness the full potential of vectorized search capabilities.
<h3>Benefits:</h3>
<ul>
<li>Improved Search Accuracy: By embedding the content semantically, users receive more accurate and contextually relevant search results.</li>
<li>Enhanced User Experience: The fast and intuitive search interface keeps users engaged and improves overall site navigation.</li>
</ul>
OPEN AI 
Vector Search With Typesense utilizes the Embedding model from OpenAI from OpenAI via API endpoint. This plugin does not gather any information from your OpenAI account except for the number of tokens utilized. The data transmitted to the OpenAI servers primarily consists of the content of your article and the context you specify. It is important to check your <a href="https://beta.openai.com/account/usage" title="OpenAI API Usage" rel="nofollow ugc">API usage</a> on the <a href="https://openai.com/blog/openai-api" title="OpenAI API" rel="nofollow ugc">OpenAI</a> website for accurate information. Please also review their <a href="https://openai.com/privacy/" title="privacy policy" rel="nofollow ugc">Privacy Policy</a> and <a href="https://openai.com/terms/" title="TOS" rel="nofollow ugc">Terms of Service</a> for further information.
<h3>Disclaimer</h3>
Vector Search With Typesense is a plugin that helps to create a semantic search function in WordPress using OpenAI embedding model and Typesense. By using this plugin, users agree to monitor their own OpenAI usage and handle any problems or misuse by their visitors. The developer of WP Vector Search With Typesense and related parties are not responsible for any issues or losses caused by using the plugin.

Vector Search With Typesense

Display a vector search widget using Typesense and OpenAI embedding model using the shortcode [tswp_search].

BotCreds Agent Memory vs Vector Search With Typesense