iris-development

✓ Official★ 82

Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris/agent-memory` (TypeScript) SDKs.

🧩 One of 7 skills in the redis/agent-skills package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

Iris: Redis Agent Memory

Iris is the umbrella brand for Redis's AI-focused products. This skill currently covers one product in that family: Redis Agent Memory (RAM) — the persistent memory layer for AI agents, delivered as a managed service on Redis Cloud. Additional Iris products will be added as separate sections when they ship.

Redis Agent Memory exposes a REST/JSON data-plane API with two memory tiers:

Session memory — append-only conversation history per session (working memory).
Long-term memory — semantically searchable records extracted from sessions (or created directly).

A background promotion worker — managed by Redis Cloud — extracts durable facts from session events and writes them into long-term memory.

Official SDKs

All code samples use the official SDKs:

Language	Package	Class	Install
Python	`redis-agent-memory`	`AgentMemory`	`pip install redis-agent-memory`
TypeScript	`@redis-iris/agent-memory`	`AgentMemory`	`npm add @redis-iris/agent-memory`

Both SDKs read the bearer token from AGENT_MEMORY_API_KEY and the default store ID from AGENT_MEMORY_STORE_ID. The production data-plane URL is https://gcp-us-east4.memory.redis.io; the exact URL for your service is also shown in the Cloud console after provisioning.

When to Apply

Reference these guidelines when:

Creating a memory service on Redis Cloud (https://cloud.redis.io/#/agent-memory)
Wiring an agent to call AgentMemory.add_session_event(...) / addSessionEvent(...)
Searching long-term memory with search_long_term_memory(...) / searchLongTermMemory(...)
Choosing between session events and direct long-term memory writes

Rule Categories by Priority

Priority	Category	Impact	Prefix
1	Setup & Cloud Service	HIGH	`setup-`
2	Session Memory / Events	HIGH	`session-`
3	Long-Term Memory	HIGH	`ltm-`
4	Memory Promotion	MEDIUM	`promotion-`

Quick Reference

1. Setup & Cloud Service (HIGH)

setup-cloud-service - Create a Memory service on Redis Cloud
setup-auth-token - Authenticate the SDK with a store API key

2. Session Memory / Events (HIGH)

session-when-to-use - Choose session events vs direct long-term memory
session-add-event - Append a session event correctly
session-retrieval - Retrieve session memory and individual events

3. Long-Term Memory (HIGH)

ltm-bulk-create - Create long-term memories in bulk with idempotent IDs
ltm-search - Search long-term memory semantically with filters
ltm-organize - Organize records with namespace, ownerId, topics, and memoryType

4. Memory Promotion (MEDIUM)

promotion-overview - How background promotion works

Copy & paste — that's it

npx skills add https://github.com/redis/agent-skills --skill iris-development

Run this in your project — your agent picks the skill up automatically.

How to Use

Read individual rule files under references/ for detailed explanations and code examples:

references/setup-cloud-service.md
references/session-add-event.md
references/promotion-overview.md

Each rule file contains:

Brief explanation of why it matters
Correct example(s) with Python and TypeScript SDK code
Either an "Incorrect" example or "When to use / When NOT needed" guidance
Additional context and references