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iris-development

Iris is Redis's umbrella for AI-focused products.

Skill by redisOfficial

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About

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.

Use cases: data, agent-building

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/iris-development

What's inside

Skill name
iris-development
Description
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.
License
MIT
Metadata
author: redis · version: 1.0.0
Instructions
84 lines in SKILL.md · view on GitHub

Files (10)

  • SKILL.md
  • ltm-bulk-create.md · references/
  • ltm-organize.md · references/
  • ltm-search.md · references/
  • promotion-overview.md · references/
  • session-add-event.md · references/
  • session-retrieval.md · references/
  • session-when-to-use.md · references/
  • setup-auth-token.md · references/
  • setup-cloud-service.md · references/

SKILL.md (first lines)

# 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](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`](references/setup-cloud-service.md) - Create a Memory service on Redis Cloud
- [`setup-auth-token`](references/setup-auth-token.md) - Authenticate the SDK with a store API key

### 2. Session Memory / Events (HIGH)

- [`session-when-to-use`](references/session-when-to-use.md) - Choose session events vs direct long-term memory
- [`session-add-event`](references/session-add-event.md) - Append a session event correctly
- [`session-retrieval`](references/session-retrieval.md) - Retrieve session memory and individual events

### 3. Long-Term Memory (HIGH)

- [`ltm-bulk-create`](references/ltm-bulk-create.md) - Create long-term memories in bulk with idempotent IDs
- [`ltm-search`](references/ltm-search.md) - Search long-term memory semantically with filters
- [`ltm-organize`](references/ltm-organize.md) - Organize records with namespace, ownerId, topics, and memoryType

### 4. Memory Promotion (MEDIUM)

- [`promotion-overview`](references/promotion-overview.md) - How background promotion works

## 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

From redis/agent-skills, MIT.

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Last commit (this folder)
Aug 11, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
Website
redis.io
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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iris-development skill. Agent Mart. https://agentmart.dev/skills/redis-iris-development (last updated 2026-10-24)