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.
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Version1.0.0
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redis
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SKILL.md
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 AGENTMEMORYAPIKEY and the default store ID from AGENTMEMORYSTOREID. 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.