Add Context Engine (Redis Iris) agent type to the AI agent builder

[mich-elle-luna]

Adds a fourth agent type, "Context Engine Agent", whose memory is fully managed by the Redis Iris Context Engine instead of raw Redis. Each turn the agent searches long-term memory, loads recent session/working memory, calls the LLM with that context, and writes both turns back — long-term facts are promoted automatically by the managed service.

• Python template uses the redis-agent-memory SDK (AgentMemory)
• JavaScript template uses the agent-memory-client SDK (MemoryAPIClient)
• Wires the type into agent-builder.js (CONFIG, icon, default name, chip), the agent-builder.html initial chips, and the agent-builder _index.md

SDK calls verified against the published packages: the Python signatures were bound against the redis-agent-memory 0.2.1 wheel source and the JS calls against the agent-memory-client 0.3.1 type definitions.

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Note

Low Risk
Documentation and static templates/UI only; no auth or production runtime changes in this repo.

Overview
Adds a fourth agent builder option — Redis Iris Conversational Assistant — for conversational agents that use managed Redis Iris Agent Memory instead of DIY Redis vector/session storage.

The interactive builder (agent-builder.js, shortcode chips) registers the new iris type with icons, default class name, and suggestion flows. Python and JavaScript templates (iris_agent.py / iris_agent.js) implement the per-turn loop: semantic long-term search, session events + summary for context, LLM call, then write turns back to session memory.

Docs on the agent builder index and How agents work now describe four agent types and link to Agent Memory as a managed memory option. Suggestion chips use a 2-column grid (single column on small screens) so four starter choices fit cleanly.

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[github-actions]

🧠 Redis Memory

Found 7 related items from repository history (1 new this commit):

• Commit — Add Context Engine (Redis Iris) agent type to the AI agent builder

  Add Context Engine (Redis Iris) agent type to the AI agent builder

• PR — DEV: add Knowledge Assistant (RAG) agent type to agent builder

  Adds a third agent type — Knowledge Assistant — to the interactive agent builder, alongside the existing Recommendation Engine and Conversat

• PR — RC/AI: Redis Agent Memory

  Still working on API examples page and service monitoring, but should be updated soon.

• Commit — ---
  

  ---

• PR — Add Node.js agent templates and unlock JavaScript in agent builder

  Add conversational and recommendation agent templates using node-redis v4 with Redis Search for vector-based message history and movie index

• Commit — Note the managed Context Engine memory option on the agent concepts page

  Note the managed Context Engine memory option on the agent concepts page

• Commit — Target Iris Cloud's store-scoped Agent Memory API; fix chip layout 🆕

  Target Iris Cloud's store-scoped Agent Memory API; fix chip layout

Memory updated at 0c0e452

[github-actions]

Staging links:
https://redis.io/docs/staging/iris-agent-template/develop/ai/agent-builder/
https://redis.io/docs/staging/iris-agent-template/develop/ai/agent-builder/agent-concepts/

[dwdougherty]

Apart from the ever-present bugbot issues, I'll approve. However, I suggest the following change to assets/css/index.css:

diff --git a/assets/css/index.css b/assets/css/index.css
index 7cd6a3db8..b2ae32071 100644
--- a/assets/css/index.css
+++ b/assets/css/index.css
@@ -1297,7 +1297,7 @@ a[href*="#no-click"], img[src*="#no-click"] {
 }
 
 .suggestion-chips {
-  @apply flex flex-wrap gap-2 mt-3;
+  @apply grid grid-cols-2 gap-2 mt-3;
 }
 
 .suggestion-chip {

The layout of the "pills" wasn't great when I viewed the preview.

[andy-stark-redis]

LGTM

[cursor]

Cursor Bugbot has reviewed your changes using high effort and found 1 potential issue.

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