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iris-development

Official

Orchestrate AI memory in Redis with Iris RAM.

Software Engineering#redis#ai#memory#agent-memory#long-term-memory#session-memory#iris
Authorredis
Version1.0.0
Installs0

System Documentation

What problem does it solve?

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.

Core Features & Use Cases

  • Two-tier memory model: session memory for raw, ordered events and long-term memory for semantically searchable facts.
  • Background promotion worker to extract durable facts and populate long-term memory from sessions.
  • Official SDKs for Python and TypeScript to create, authenticate, and query memory stores, plus clear guidance on prompts, tokens, and TTLs for memory lifecycle.
  • Use cases include recording conversations, retrieving context for new conversations, and performing semantic searches across memories in Redis Cloud.

Quick Start

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.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: iris-development
Download link: https://github.com/redis/agent-skills/archive/main.zip#iris-development

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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