iris-development
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.
Install
With your agent
Install OMGSkills skill "redis/agent-skills:skills/iris-development" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/redis/agent-skills /tmp/agent-skills && ln -s /tmp/agent-skills/skills/iris-development ~/.claude/skills/iris-developmentFrom README
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.
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