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Agent Studio is now generally available, providing a managed platform for building, deploying, and operating AI agents grounded in Algolia data. Customers can configure model providers, connect search and recommendation tools, add safety controls, and monitor conversations through a single API and dashboard. This reduces the complexity of building production-ready AI experiences while providing a consistent, scalable foundation for agent development. Click here to learn more.
", "url": "https://changelog.algolia.com/build-ai-agents-with-agent-studio-now-generally-available-37Tpu0", "title": "Build AI Agents With Agent Studio, Now Generally Available", "summary": "Agent Studio is now generally available, providing a managed platform for building, deploying, and operating AI agents grounded in Algolia d...", "date_modified": "2026-07-15T17:16:59.595Z", "tags": [ "New Product", "Gen AI", "Dashboard" ] }, { "id": "443817", "content_html": "Agent Studio now generally supports Model Context Protocol (MCP) servers, allowing AI agents to securely connect to external tools and services through a standardized interface. Customers can extend agent capabilities with approved third-party tools while controlling which tools are available and requiring human approval for sensitive actions. This makes it easier to integrate existing systems into AI workflows without building custom integrations. Click here to learn more.
", "url": "https://changelog.algolia.com/connect-ai-agents-to-external-tools-with-mcp-servers-36L0XK", "title": "Connect AI Agents to External Tools With MCP Servers", "summary": "Agent Studio now generally supports Model Context Protocol (MCP) servers, allowing AI agents to securely connect to external tools and servi...", "date_modified": "2026-07-15T17:14:57.268Z", "tags": [ "New Product", "Gen AI", "Dashboard" ] }, { "id": "443641", "content_html": "Merchandisers can now create conditionless rules - rules that ‘always apply’ i.e. without a trigger - directly in the Visual Editor. Previously these rules could only be created from the Manual Editor, putting them out of reach for business users. A new Actions menu also lets you create rules unassociated with the current page or query, in the Visual Merchandiser.
DocSearch now has a dedicated DocSearch Hub in the dashboard, bringing DocSearch resources together in one place. Access the Crawler, Ask AI in Agent Studio, indices, API keys, and UI implementation guidance from a single location. This update reduces navigation across multiple dashboard sections and makes it easier to manage and implement DocSearch.
The Visual Editor now supports custom grid layout configurations, letting merchandisers preview results in the same tile pattern used on their storefront. Configure your preferred layout once at the index level patterns like 3-4-3 and see exactly how your products will appear. Reduces guesswork and eliminates the need to validate changes on a separate staging environment.
Dynamic Facets automatically reorders facets based on how shoppers apply filters, helping surface the most relevant filtering options for each query or browsing context. Rankings are updated daily using filter usage data and returned directly in search responses without additional queries. This helps reduce the effort required to find relevant filters, improves filter engagement, and minimises ongoing manual facet merchandising. Click here to learn more.
", "url": "https://changelog.algolia.com/optimise-filtering-experiences-with-dynamic-facets-3EMGbe", "title": "Optimise Filtering Experiences With Dynamic Facets", "summary": "Dynamic Facets automatically reorders facets based on how shoppers apply filters, helping surface the most relevant filtering options for ea...", "date_modified": "2026-06-16T18:09:41.943Z", "tags": [ "New Feature", "AI Search" ] }, { "id": "441362", "content_html": "This Magento extension update introduces support for Algolia Query Suggestions, including a new configuration option in the Autocomplete menu that lets customers switch between Magento Search Queries and Algolia Query Suggestions. The release also introduces the Algolia Adapter module for server-side rendering of category and search pages, adds a configurable replica limit, and improves paging behavior by respecting Magento grid and list view settings. Breaking change: backend rendering management has been removed from the extension. Customers using server-side rendering must install the Algolia Adapter module to maintain this functionality. Click here to learn more.
", "url": "https://changelog.algolia.com/adobe-commerce-query-suggestions-and-a-new-server-side-search-adapter-lgOXu", "title": "Adobe Commerce: Query Suggestions and a New Server-Side Search Adapter", "summary": "This Magento extension update introduces support for Algolia Query Suggestions, including a new configuration option in the Autocomplete men...", "date_modified": "2026-06-09T17:20:17.610Z", "tags": [ "Enhancement", "E-Commerce Platform Integrations" ] }, { "id": "440099", "content_html": "Algolia CLI v1.8.1 introduces updates that improve automation, security, and AI agent interoperability from the terminal. New capabilities include schema introspection with algolia describe, structured JSON and NDJSON output, expanded dry-run validation for mutation commands, OAuth PKCE authentication with scoped user permissions, and input validation for malformed control characters. The release also adds crawler authentication through the dashboard with algolia auth crawler and a new compositions command group for managing compositions and composition rules directly from the CLI. These updates help developers and AI agents interact with Algolia more safely, predictably, and efficiently in automated workflows. Click here to learn more.
", "url": "https://changelog.algolia.com/algolia-cli-adds-ai-agent-support-and-safer-automation-workflows-EyayI", "title": "Algolia CLI Adds AI Agent Support and Safer Automation Workflows", "summary": "Algolia CLI v1.8.1 introduces updates that improve automation, security, and AI agent interoperability from the terminal. New capabilities i...", "date_modified": "2026-05-20T18:44:25.524Z", "tags": [ "Enhancement", "Gen AI" ] }, { "id": "439357", "content_html": "NeuralSearch now learns query intent directly from customer engagement data. Rather than relying solely on semantic interpretation, search queries are matched against patterns derived from real clicks and conversions - so brand names, niche terminology, and ambiguous queries return results grounded in what your customers actually engage with. Coverage improves automatically over time as engagement data accumulates, with standard semantic search as a seamless fallback for queries not yet learned. Click here to learn more.
Virtual replicas are now supported directly in the Shopify integration sort configuration UI. Merchants can select attributes and choose between standard and virtual replicas without manual setup. This eliminates the need for custom JavaScript, duplicate indices, and complex workflows previously required to manage sorting. The update reduces application size, simplifies configuration within Shopify, and removes a key blocker for teams managing large catalogs or storage limits. Click here to learn more.
", "url": "https://changelog.algolia.com/simplify-sorting-with-native-virtual-replica-support-oDx4Y", "title": "Simplify Sorting With Native Virtual Replica Support", "summary": "Virtual replicas are now supported directly in the Shopify integration sort configuration UI. Merchants can select attributes and choose bet...", "date_modified": "2026-05-04T16:39:03.971Z", "tags": [ "Enhancement", "E-Commerce Platform Integrations" ] }, { "id": "439060", "content_html": "The Shopify integration now supports dynamic ruleContexts on collection and search pages, allowing merchandising rules to adapt based on context such as traffic source, campaign, or season. This enables different experiences for the same collection without modifying underlying data. Merchants can apply rules like pinning, boosting, filtering, or banners per context. This update removes reliance on deprecated APIs and provides more flexible, targeted merchandising control across storefront experiences. Click here to learn more.
", "url": "https://changelog.algolia.com/control-collection-page-merchandising-with-dynamic-contexts-nv8yI", "title": "Control Collection Page Merchandising With Dynamic Contexts", "summary": "The Shopify integration now supports dynamic ruleContexts on collection and search pages, allowing merchandising rules to adapt based on con...", "date_modified": "2026-05-04T16:37:20.912Z", "tags": [ "Enhancement", "E-Commerce Platform Integrations" ] }, { "id": "439059", "content_html": "The Shopify integration now supports indexing metaobjects, enabling rich and reusable content such as size guides, store locations, and brand stories to be searchable and filterable in Algolia. Configuration is managed directly in the Shopify plugin, including selecting metaobject types, fields, and transformations. Updates sync automatically via webhooks, ensuring records stay current without manual reindexing. This reduces the need for custom pipelines or workarounds while enriching search results with structured content. Click here to learn more.
", "url": "https://changelog.algolia.com/make-shopify-metaobjects-searchable-in-algolia-mmK2s", "title": "Make Shopify Metaobjects Searchable in Algolia", "summary": "The Shopify integration now supports indexing metaobjects, enabling rich and reusable content such as size guides, store locations, and bran...", "date_modified": "2026-05-04T16:34:55.008Z", "tags": [ "New Feature", "E-Commerce Platform Integrations" ] }, { "id": "438920", "content_html": "Safety Controls in Agent Studio introduce guardrails for deploying agents in production. Configure global and per-IP rate limits to handle spikes, set limits on tokens, steps, and conversation depth to manage cost, and restrict access using domain allowlists. This helps prevent abuse, reduce unexpected spend, and ensure agents are only accessible from approved environments.
", "url": "https://changelog.algolia.com/control-agent-cost-usage-and-access-in-agent-studio-2vcJRC", "title": "Control Agent Cost, Usage, and Access in Agent Studio", "summary": "Safety Controls in Agent Studio introduce guardrails for deploying agents in production. Configure global and per-IP rate limits to handle s...", "date_modified": "2026-04-30T18:41:09.610Z", "tags": [ "New Feature", "Gen AI" ] }, { "id": "439582", "content_html": "Rule Tags introduce a flexible categorization system for organizing rules at scale, available in the Algolia dashboard and Merchandising Studio. Tags can be created, edited, and applied to rules individually or in bulk, then used to filter the rules list. Teams managing large rule libraries can now group rules by campaign, owner, or function to improve discoverability and coordinate cleanup.
The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashboard OAuth) directly from their preferred Al coding environment and query Algolia without switching context. Each AI assistant is recognised by the MCP and matched against a redirect URI, without needing to enter a Client ID. Click here to learn more.
", "url": "https://changelog.algolia.com/productivity-mcp-now-supports-more-ai-developer-tools-2sVWP6", "title": "Productivity MCP Now Supports More AI Developer Tools", "summary": "The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashbo...", "date_modified": "2026-04-29T18:31:48.000Z", "tags": [ "Enhancement", "Beta", "Gen AI" ] }, { "id": "438917", "content_html": "Agent Studio now includes a dedicated search settings panel, letting teams configure search parameters specifically for their agents - separate from existing index settings. Defaults (hits per page, controlled attributes, facets) are set based on evaluation findings and applied automatically when connecting a new index. All settings are fully customizable.
Agent Studio's search tool has been upgraded with improved relevance, faster response times, and reduced cost per query. Agents now benefit from more accurate, context-aware results across a wider range of query types. AI-generated tool descriptions also help agents select and invoke the right search tool at the right time, improving overall agent reasoning quality.
", "url": "https://changelog.algolia.com/improved-search-tool-with-new-capabilities-for-agent-studio-agents-2qF9MA", "title": "Improved Search Tool With New Capabilities for Agent Studio Agents", "summary": "Agent Studio's search tool has been upgraded with improved relevance, faster response times, and reduced cost per query. Agents now benefit ...", "date_modified": "2026-04-29T18:25:31.000Z", "tags": [ "Enhancement", "Beta", "Gen AI" ] }, { "id": "438915", "content_html": "A new Guardrails configuration in the Safety Controls tab allows defining custom categories to filter harmful or off-topic content across input, output, or both. Each category includes a description, examples, and an optional fallback response, helping teams control how agents handle sensitive or irrelevant queries. This improves response quality, reduces risk, and ensures interactions stay aligned with the intended use case. Click here to learn more.
The Agent Studio widget search bar now features an AI mode button and context-aware prompt suggestions. As shoppers type, relevant suggested prompts appear that transition them directly into the chat experience with a single click. The AI mode button provides a persistent, prominent entry point from search to natural language conversation, reducing friction for users moving between search and chat.
Agent Studio now includes a dedicated Getting Started page and Quick Setup flow for agents. A guided configuration wizard covers data source selection, prompt configuration, entry points, prompt suggestions, conversation features, and safety controls in a single flow. Pre-configured agent templates are available to reduce setup time and accelerate time to first deployment.
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