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: use the OMGSkills MCP get_skill tool, install only the pinned_install commit and path, verify SKILL.md against pinned_install.skill_md_sha, 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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