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Set alwaysopen to true in agent-memory index#3620

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Set alwaysopen to true in agent-memory index#3620
prosperenergy wants to merge 1 commit into
redis:mainfrom
prosperenergy:patch-1

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@prosperenergy prosperenergy commented Jul 12, 2026

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Single front-matter flag on a docs index page; navigation display only, no runtime or product behavior.

Overview
Sets alwaysopen: true in the front matter of content/operate/rc/context-engine/agent-memory/_index.md (was false). That Hugo setting keeps the Redis Agent Memory on Redis Cloud section expanded in the docs navigation so child pages are visible without manually opening the section.

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Copilot AI review requested due to automatic review settings July 12, 2026 02:11
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alwaysopen: true
categories:

  • docs
  • operate
  • rc
    description: Store agent memory for AI applications in Redis Cloud.
    hideListLinks: true
    linktitle: Agent Memory
    title: Redis Agent Memory on Redis Cloud
    weight: 36
    bannerText: Redis Agent Memory on Redis Cloud is currently available as a public preview. Features and behavior are subject to change.
    bannerChildren: true

Redis Agent Memory is a memory service for AI Agents available as a REST API and Python SDK. It provides the persistent, structured memory layer that intelligent agents need to store, retrieve, and manage contextual data across interactions. Rather than requiring developers to build custom memory infrastructure from scratch, Redis Agent Memory offers a turnkey solution with dedicated endpoints, secure API key management, configurable memory schemas, and automatic TTL-based lifecycle management.

Redis Agent Memory overview

Redis Agent Memory uses a two-tier memory model:

  • Session memory (also known as short-term or working memory) maintains the current conversation state, session history, and session-specific metadata. You can set a custom time-to-live (TTL) to control how long session data is retained.
  • Long-term memory stores information extracted from past sessions, such as user preferences and learned patterns, as text with vector embeddings for semantic retrieval.

Promotion from short-term to long-term memory happens automatically. When you store a conversation event in session memory, the Agent Memory Server asynchronously extracts important information using the configured extraction strategy (discrete, summary, preferences, or custom) and stores it as long-term memory. The process is non-blocking, so agent interactions remain responsive. Short-term memory that is not promoted expires based on its TTL. You can also create long-term memories directly through the API for bulk creation or to import knowledge from external sources.

For more details, see the [Redis Agent Memory overview]({{< relref "/develop/ai/context-engine/agent-memory" >}}).

Get started with Agent Memory on Redis Cloud

{{< embed-md "rc-agent-memory-get-started.md" >}}

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Pull request overview

Updates Hugo front matter to keep the Redis Agent Memory on Redis Cloud section expanded in the left-hand docs navigation, improving discoverability of its child pages.

Changes:

  • Set alwaysopen: true in content/operate/rc/context-engine/agent-memory/_index.md (previously false).

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Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated no new comments.

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3 participants