Official agent skill

Iris Development

Iris is Redis's umbrella for AI-focused products. An agent skill from redis/agent-skills.

OfficialMITAuto-check passedAgent Workflows

Install Iris Development

skills CLI

$ npx skills add redis/agent-skills --skill iris-development -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install redis/agent-skills iris-development --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/redis/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/iris-development .claude/skills/iris-development && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "iris-development" agent skill from https://github.com/redis/agent-skills/tree/main/skills/iris-development into .claude/skills/iris-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iris-development", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/redis/agent-skills/tree/main/skills/iris-development

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add redis/agent-skills --skill iris-development -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install redis/agent-skills iris-development --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/redis/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/iris-development .agents/skills/iris-development && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "iris-development" agent skill from https://github.com/redis/agent-skills/tree/main/skills/iris-development into .agents/skills/iris-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iris-development", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add redis/agent-skills --skill iris-development -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install redis/agent-skills iris-development --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/redis/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/iris-development .cursor/skills/iris-development && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "iris-development" agent skill from https://github.com/redis/agent-skills/tree/main/skills/iris-development into .cursor/skills/iris-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iris-development", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/redis/agent-skills.git --path skills/iris-development

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add redis/agent-skills --skill iris-development -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install redis/agent-skills iris-development --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/redis/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/iris-development .gemini/skills/iris-development && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "iris-development" agent skill from https://github.com/redis/agent-skills/tree/main/skills/iris-development into .gemini/skills/iris-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iris-development", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install redis/agent-skills iris-development

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add redis/agent-skills --skill iris-development -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/redis/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/iris-development .github/skills/iris-development && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "iris-development" agent skill from https://github.com/redis/agent-skills/tree/main/skills/iris-development into .github/skills/iris-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iris-development", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add redis/agent-skills --skill iris-development -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install redis/agent-skills iris-development --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/redis/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/iris-development .opencode/skills/iris-development && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "iris-development" agent skill from https://github.com/redis/agent-skills/tree/main/skills/iris-development into .opencode/skills/iris-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iris-development", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: iris-development
GitHub stars: 165
Token cost: ~1.1k tokens
SKILL.md length: 370 words
Files: 10 (incl. references)
Skills in repo: 8
Repo updated: Sep 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Iris is Redis's umbrella for AI-focused products. An agent skill from redis/agent-skills.

Works in 4 steps: Setup & Cloud Service (HIGH) → Session Memory / Events (HIGH) → Long-Term Memory (HIGH) → …
Integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent
SKILL.md covers Official SDKs, When to Apply, Rule Categories by Priority and Quick Reference, plus 1 more section
Calls pip and npm; reaches gcp-us-east4.memory.redis.io; needs AGENT_MEMORY_API_KEY

What it does

Iris Development is an agent skill from redis/agent-skills, published by the product's own GitHub organization. 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.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `references/ltm-bulk-create.md`, `references/ltm-organize.md` and `references/ltm-search.md`).

It sits in Agent Workflows, covering Agent memory. It works with Redis, Python and TypeScript. The repository describes itself as: Redis' official collection of agent skills. The licence is MIT.

When your agent uses it

Integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent
Searching long-term memories
Configuring a memory store
Tuning background memory promotion

Example prompts

“/iris-development”

Requirements

Python 3
A credential in AGENT_MEMORY_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Setup & Cloud Service (HIGH)
Session Memory / Events (HIGH)
Long-Term Memory (HIGH)
Memory Promotion (MEDIUM)

What it can do on your machine

Read from SKILL.md and the folder at commit a84871d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- pip
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- gcp-us-east4.memory.redis.io
Also links to:
- cloud.redis.io
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- AGENT_MEMORY_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Iris Development loads about 1.1k tokens when it runs, and up to ~9.9k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 370 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~107
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~9.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from redis/agent-skills at commit a84871d, republished under its MIT licence (© redis). 370 words, ~1,094 tokens.

Download SKILL.mdSave it as .claude/skills/iris-development/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.

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
metadata.version: 1.0.0

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-`

Show full SKILL.md (137 more words)Show less

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

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

Files

SKILL.md and 9 other files (references) in skills/iris-development of redis/agent-skills.

SKILL.md
references/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

Open the folder on GitHubat commit a84871d

Compare with similar skills

Iris Development next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Iris Development compared with similar skills
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AWS Lambda Durable Functionsawslabs/agent-plugins	912	—	~2.3k	Automated safety check: Pass	Apache-2.0	yesterday
Using Message Queuesancoleman/ai-design-components	526	—	~2.9k	Automated safety check: Pass	MIT	10 mo ago
MCP Server Builderanthropics/skills	180k	62 repos	~2.3k	Automated safety check: Pass	Apache-2.0	2 days ago

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Works with

Questions about Iris Development

What does Iris Development do?

Iris is Redis's umbrella for AI-focused products. An agent skill from redis/agent-skills. Iris Development is an agent skill from redis/agent-skills, published by the product's own GitHub organization. Iris is Redis's umbrella for AI-focused products.

When should I use Iris Development?

Iris Development fits situations like: integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent; searching long-term memories; configuring a memory store; tuning background memory promotion.

How do I install Iris Development in Claude Code?

Run `npx skills add redis/agent-skills --skill iris-development -a claude-code`. Or copy the skill folder (skills/iris-development in redis/agent-skills) into .claude/skills/iris-development in your project. Claude Code loads it when a task matches its description.

How do I install Iris Development in Codex?

Run `npx skills add redis/agent-skills --skill iris-development -a codex`. Or copy the skill folder (skills/iris-development in redis/agent-skills) into .agents/skills/iris-development in your project. Codex loads it when a task matches its description.

Can I use Iris Development in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add redis/agent-skills --skill iris-development -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/iris-development, .gemini/skills/iris-development, .github/skills/iris-development and .opencode/skills/iris-development in your project.

What does Iris Development need to run?

Going by SKILL.md and its folder, Iris Development needs the command-line tools its instructions call (pip and npm) and credentials named AGENT_MEMORY_API_KEY. Our summary lists: Python 3; A credential in AGENT_MEMORY_API_KEY.

Does Iris Development access the network?

SKILL.md names 2 domains. In commands or code: gcp-us-east4.memory.redis.io; the agent is likely to contact it when it follows the instructions. As links in the text: cloud.redis.io. This is read from the text; nothing was executed.

Is Iris Development safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Iris Development use?

Iris Development is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Iris Development use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.9k tokens, read only when the agent opens those files.

What are the alternatives to Iris Development?

Skills that share tags, products or a category with Iris Development: Cognee Session Memory and Improve (topoteretes/cognee, 32k stars), Deep Agents Core (langchain-ai/langchain-skills, 1.3k stars), AWS Lambda Durable Functions (awslabs/agent-plugins, 912 stars) and Using Message Queues (ancoleman/ai-design-components, 526 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Iris Development?

redis (a GitHub organization, an official publisher) maintains it in redis/agent-skills, which has 165 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 8, 2026.

Source: redis/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Iris Development

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Iris: Redis Agent Memory

Official SDKs

When to Apply

Rule Categories by Priority

Quick Reference

1. Setup & Cloud Service (HIGH)

2. Session Memory / Events (HIGH)

3. Long-Term Memory (HIGH)

4. Memory Promotion (MEDIUM)

How to Use

Files

Compare with similar skills

Similar skills

More from redis/agent-skills

Related

Questions about Iris Development