Consolidate Agent Memory documentation for GA

build/local_examples.py

@@ -104,10 +104,12 @@ def get_client_name_from_language_and_path(language: str, path: str,
 
     For Python (.py) files, override based on path substrings:
     - If 'redisvl' in path -> RedisVL
+    - If 'agent-memory' in path -> Agent Memory (Python)
     - If 'iris' in path -> Python (Iris)
     - Otherwise -> Python
 
     For TypeScript (.ts, .mts) and shell (.sh) files, override based on path substrings:
+    - If 'agent-memory' in path -> Agent Memory (TypeScript)
     - If 'iris' in path -> TypeScript (Iris) or cURL (Iris)
 
     Substring checks are case-sensitive and can appear anywhere in the path.
@@ -130,9 +132,13 @@ def get_client_name_from_language_and_path(language: str, path: str,
     if language == 'python':
         if 'redisvl' in path:
             return 'RedisVL'
+        if 'agent-memory' in path:
+            return 'Agent Memory (Python)'
         if 'iris' in path:
             return 'Python (Iris)'
     if language == 'typescript':
+        if 'agent-memory' in path:
+            return 'Agent Memory (TypeScript)'
         if 'iris' in path:
             return 'TypeScript (Iris)'
     if language == 'bash':

config.toml

@@ -87,7 +87,7 @@ gitHubRepo = "https://github.com/redis/docs"
 aiSchemaVersion = 2
 
 # Display and sort order for client examples
-clientsExamples = ["Python", "Node.js", "ioredis", "Java-Sync", "Lettuce-Sync", "Java-Async", "Java-Reactive", "Go", "C", "C#-Sync (NRedisStack)", "C#-Async (NRedisStack)", "C#-Sync (SE.Redis)", "C#-Async (SE.Redis)", "RedisVL", "PHP", "Ruby", "Rust-Sync", "Rust-Async", "Python (Iris)", "TypeScript (Iris)", "cURL (Iris)", "CLI (Iris)"]
+clientsExamples = ["Python", "Node.js", "ioredis", "Java-Sync", "Lettuce-Sync", "Java-Async", "Java-Reactive", "Go", "C", "C#-Sync (NRedisStack)", "C#-Async (NRedisStack)", "C#-Sync (SE.Redis)", "C#-Async (SE.Redis)", "RedisVL", "PHP", "Ruby", "Rust-Sync", "Rust-Async", "Python (Iris)", "TypeScript (Iris)", "cURL (Iris)", "CLI (Iris)", "Agent Memory (Python)", "Agent Memory (TypeScript)"]
 searchService = "/convai/api/search-service"
 ratingsService = "/docusight/api/rate/docs"
 
@@ -125,6 +125,9 @@ rdi_current_version = "2.0.0"
 "cURL (Iris)"={quickstartSlug="", langId="bash", clientId="iris-curl", clientName="cURL (Iris)", mappingClientId=""}
 "CLI (Iris)"={quickstartSlug="", langId="bash", clientId="iris-cli", clientName="CLI (Iris)", mappingClientId=""}
 
+"Agent Memory (Python)"={quickstartSlug="", langId="python", clientId="agent-memory-python", clientName="Agent Memory (Python)", mappingClientId=""}
+"Agent Memory (TypeScript)"={quickstartSlug="", langId="typescript", clientId="agent-memory-typescript", clientName="Agent Memory (TypeScript)", mappingClientId=""}
+
 # Mount directories for duplicate content
 [module]
 [[module.mounts]]

content/develop/ai/context-engine/agent-memory/_index.md

@@ -9,8 +9,6 @@ description: Store agent memory for AI applications in Redis.
 linkTitle: Agent Memory
 hideListLinks: true
 weight: 10
-bannerText: Redis Agent Memory is currently available in preview. Features and behavior are subject to change.
-bannerChildren: true
 aliases:
 - /develop/ai/agent-memory/
 ---
@@ -23,11 +21,13 @@ When enabled, automatic summarization compacts session memory by summarizing old
 
 Access Redis Agent Memory through the Python and TypeScript SDKs or its REST API. It works with any agent framework or LLM provider.
 
-<div class="grid grid-cols-1 md:grid-cols-4 gap-6 my-8">
-  {{< tile-card icon="images/icon_logo/icon-data-structures-64-midnight.png" title="Overview" description="How session and long-term memory work, and what runs in the background" url="/develop/ai/context-engine/agent-memory/overview" >}}
-  {{< tile-card icon="images/dev/icons/icon-redis-code-64-duotone.png" title="Python quickstart" description="Get started with Redis Agent Memory in Python" url="/develop/ai/context-engine/agent-memory/python-sdk-quickstart" >}}
-  {{< tile-card icon="images/dev/icons/icon-redis-code-64-duotone.png" title="TypeScript quickstart" description="Get started with Redis Agent Memory in TypeScript" url="/develop/ai/context-engine/agent-memory/typescript-sdk-quickstart" >}}
-  {{< tile-card icon="images/dev/icons/icon-redis-code-64-duotone.png" title="REST quickstart" description="Get started with Redis Agent Memory using curl" url="/develop/ai/context-engine/agent-memory/rest-api-quickstart" >}}
+<div class="grid grid-cols-1 md:grid-cols-3 gap-6 my-8">
+  {{< image-card image="images/ai-model.svg" alt="Overview icon" title="Overview — What's the same and what's different if you already know Redis" url="/develop/ai/context-engine/agent-memory/overview" >}}
+  {{< image-card image="images/ai-cube.svg" alt="Quickstart icon" title="Quickstart — Make your first requests" url="/develop/ai/context-engine/agent-memory/quickstart" >}}
+  {{< image-card image="images/ai-lib.svg" alt="Developer guide icon" title="Developer guide — Add memory to your application" url="/develop/ai/context-engine/agent-memory/developer-guide" >}}
+  {{< image-card image="images/ai-LLM-memory.svg" alt="Sessions icon" title="Sessions — Store conversation events" url="/develop/ai/context-engine/agent-memory/sessions" >}}
+  {{< image-card image="images/ai-brain-2.svg" alt="Long-term memory icon" title="Long-term memory — Recall information across conversations" url="/develop/ai/context-engine/agent-memory/long-term-memory" >}}
+  {{< image-card image="images/ai-semantic-routing.svg" alt="Namespaces icon" title="Namespaces — Organize your memories" url="/develop/ai/context-engine/agent-memory/namespaces" >}}
 </div>
 
 ## Why use Redis Agent Memory?
@@ -36,7 +36,7 @@ Access Redis Agent Memory through the Python and TypeScript SDKs or its REST API
 * **Automatic session summarization:** Automatically summarize older conversation events while retaining recent messages in full.
 * **Automatic long-term memory:** Automatically extract durable information from session events in the background. You can also create long-term memories directly from external data.
 * **Sensitive-data exclusions:** Guide automatic extraction away from information that should not be kept in long-term memory.
-* **Relevant retrieval:** Search long-term memory using semantic, keyword, or hybrid search.
+* **Relevant retrieval:** Search long-term memory semantically and narrow results with filters.
 * **Multi-session recall:** Retrieve relevant memories across conversations and filter results by owner, session, namespace, topic, or memory type.
 * **Custom memory types:** Define memory types for your business domain, with structured fields and instructions that control what Redis Agent Memory extracts.
 
@@ -55,7 +55,7 @@ Redis Agent Memory provides two memory tiers:
   </div>
   <div class="p-5 border border-redis-pen-300 rounded-lg">
     <h3 class="text-redis-ink-900 font-semibold mb-3">Long-term memory</h3>
-    <p>Stores durable information that can be retrieved across sessions using semantic, keyword, or hybrid search.</p>
+    <p>Stores durable information that can be retrieved across sessions using semantic search and filters.</p>
     <ul class="space-y-2">
       <li><strong>Automatic extraction:</strong> Process session events asynchronously and store important information with vector embeddings and metadata.</li>
       <li><strong>Custom memory types:</strong> Define domain-specific memories with structured fields and extraction instructions.</li>
@@ -66,8 +66,6 @@ Redis Agent Memory provides two memory tiers:
   </div>
 </div>
 
-To watch both tiers change during a conversation, try the [interactive demo](/content/develop/ai/context-engine/agent-memory/interactive-demo.md).
-
 ### Example: Travel planning agent
 
 Consider a travel agent helping a user plan a trip:
@@ -94,13 +92,13 @@ Agent: Good to know! I'll help you find some vegetarian-friendly restaurants in
   </div>
   <div class="p-5 border border-redis-pen-300 rounded-lg">
     <h4 class="text-redis-ink-900 font-semibold mb-3">Custom memory types</h4>
-    <p>Stores domain-specific information in a custom <code>trip_preference</code> type with fields such as <code>destination</code>, <code>travel_period</code>, and <code>dietary_requirement</code>.</p>
+    <p>Stores domain-specific information in a custom <code>trip_preference</code> type with fields such as <code>destinations</code>, <code>travel_period</code>, and <code>dietary_requirements</code>.</p>
   </div>
 </div>
 
 ## Get started with Redis Agent Memory {#get-started}
 
-Get started with Redis Agent Memory on Redis Cloud or join the private preview for Redis Software.
+Get started with Redis Agent Memory on Redis Cloud or deploy it with Redis Software.
 
 <div class="grid grid-cols-1 md:grid-cols-2 gap-6 my-8">
   <div class="p-5 border border-redis-pen-300 rounded-lg">
@@ -109,34 +107,28 @@ Get started with Redis Agent Memory on Redis Cloud or join the private preview f
     <p><a href="{{< relref "/operate/iris/agent-memory/create-service" >}}">Open the Redis Cloud setup guide</a></p>
   </div>
   <div class="p-5 border border-redis-pen-300 rounded-lg">
-    <h3 class="text-redis-ink-900 font-semibold mb-3">Redis Software private preview</h3>
+    <h3 class="text-redis-ink-900 font-semibold mb-3">Redis Software</h3>
     <p>Deploy Redis Agent Memory on Kubernetes with Redis Software.</p>
     <p><a href="{{< relref "/operate/iris/agent-memory/self-managed" >}}">Open the self-managed deployment guide</a></p>
   </div>
 </div>
 
-### Choose a quickstart
+### Follow the quickstart
 
-After your Redis Agent Memory service is ready, choose a client. Each quickstart follows the same travel planning scenario through session memory, automatic extraction, summarization, custom memory types, and sensitive-data exclusions.
+After your service is ready, follow the [quickstart]({{< relref "/develop/ai/context-engine/agent-memory/quickstart" >}}). Choose Python, TypeScript, or curl to explore the same travel planning scenario.
 
-<div class="grid grid-cols-1 md:grid-cols-3 gap-6 my-6">
-  <div class="p-5 border border-redis-pen-300 rounded-lg">
-    <h3 class="text-redis-ink-900 font-semibold mb-3">Python SDK</h3>
-    <p>Explore the Redis Agent Memory workflow with the Python SDK.</p>
-    <p><a href="{{< relref "/develop/ai/context-engine/agent-memory/python-sdk-quickstart" >}}">Open the Python quickstart</a></p>
-  </div>
-  <div class="p-5 border border-redis-pen-300 rounded-lg">
-    <h3 class="text-redis-ink-900 font-semibold mb-3">TypeScript SDK</h3>
-    <p>Explore the Redis Agent Memory workflow with the TypeScript SDK.</p>
-    <p><a href="{{< relref "/develop/ai/context-engine/agent-memory/typescript-sdk-quickstart" >}}">Open the TypeScript quickstart</a></p>
-  </div>
-  <div class="p-5 border border-redis-pen-300 rounded-lg">
-    <h3 class="text-redis-ink-900 font-semibold mb-3">REST API</h3>
-    <p>Explore the Redis Agent Memory workflow with <code>curl</code>.</p>
-    <p><a href="{{< relref "/develop/ai/context-engine/agent-memory/rest-api-quickstart" >}}">Open the REST API quickstart</a></p>
-  </div>
-</div>
+## Explore the documentation
+
+* [Overview]({{< relref "/develop/ai/context-engine/agent-memory/overview" >}}): Understand session memory, long-term memory, and namespaces.
+* [Quickstart]({{< relref "/develop/ai/context-engine/agent-memory/quickstart" >}}): Store a conversation and recall an extracted memory.
+* [Developer guide]({{< relref "/develop/ai/context-engine/agent-memory/developer-guide" >}}): Put the pieces together in an application.
+* [Sessions]({{< relref "/develop/ai/context-engine/agent-memory/sessions" >}}): Store conversation events and configure retention and summarization.
+* [Long-term memory]({{< relref "/develop/ai/context-engine/agent-memory/long-term-memory" >}}): Create and retrieve memories across conversations, including custom memory types.
+* [MemoryETL](/content/develop/ai/context-engine/agent-memory/memory-etl.md): Extract memories from documents and inspect their source evidence.
+* [Summary Views](/content/develop/ai/context-engine/agent-memory/summary-views.md): Materialize text or structured summaries of long-term memories.
+* [Ingestion webhooks](/content/develop/ai/context-engine/agent-memory/ingestion-webhooks.md): Review input and generated changes before they are saved.
+* [Namespaces]({{< relref "/develop/ai/context-engine/agent-memory/namespaces" >}}): Organize memories and manage namespace hierarchies.
 
-For shared integration concepts, identifiers, and authentication, see the [Redis Agent Memory developer guide](/content/develop/ai/context-engine/agent-memory/developer-guide.md).
+* [API reference]({{< relref "/develop/ai/context-engine/agent-memory/api-reference" >}}): Look up request and response schemas.
 
-To generate a complete conversational agent that uses Agent Memory, open the [AI agent builder](/content/develop/ai/agent-builder/_index.md) and select **Redis Iris Conversational Assistant**.
+For shared placement rules, see [Namespace routing](/content/develop/ai/context-engine/agent-memory/namespace-routing.md). To build a conversation list, see [List and sort sessions](/content/develop/ai/context-engine/agent-memory/list-sessions.md).