Promote transient session events into durable, searchable long-term memories.
npx skills add https://github.com/redis/agent-skills --skill iris-development
Please help me install this Agent Skill. Skill: iris-development Source: https://github.com/redis/agent-skills/tree/main/skills/iris-development Command: npx skills add https://github.com/redis/agent-skills --skill iris-development
Iris provides a unified interface to manage Redis Agent Memory (RAM) across session memory and long-term memory, enabling AI agents to persist and semantically search memory with a background promotion workflow.
Provision an Iris RAM store in Redis Cloud, install the Python or TypeScript SDK, configure server URL and API key, then begin appending session events and querying long-term memories.
High-intent search queries and answers about installing and using this skill.
To persist AI agent memory, you append transient session events to a memory store and use a background promotion worker to extract durable facts into long-term memory for semantic search in Redis Cloud.
Session memory stores raw, ordered conversational events for immediate context, while long-term memory holds semantically searchable facts promoted from sessions to provide durable context for new AI agent conversations.
You configure memory lifecycle TTLs during the initial store setup in Redis Cloud, defining separate expiration durations for both transient session memory and promoted long-term memory events.
Yes, official Python and TypeScript SDKs allow you to create, authenticate, and query memory stores, enabling you to append session events and perform semantic searches across long-term memories.
Yes, the Iris RAM service requires a configured store provisioned within Redis Cloud, along with a server URL and bearer token authentication to manage and query your AI agent memory.
Context is lost when sessions are transient. A background promotion worker extracts durable facts from session memory into long-term memory, allowing semantic retrieval of past context for new conversations.
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