Iris Development
If you're building an AI agent that needs to remember things across conversations, this skill walks you through Redis Agent Memory (RAM), the managed memory layer on Redis Cloud. It covers the two-tier setup: session memory for appending conversation events and long-term memory for semantic search, plus the background promotion worker that extracts durable facts automatically. The rules are organized by priority and map directly to the official Python and TypeScript SDKs, so you get working code for authentication, event logging, bulk memory creation, and search with filters. Good coverage of when to use session events versus writing directly to long-term memory, which is the decision you'll hit first.
- skills.sh installs
- 1.7K
- GitHub stars
- 175
- last updated
- Aug 21, 2026
Install
$ npx -y skills add redis/agent-skills --skill iris-development --agent claude-codeInstalls into .claude/skills of the current project.
Files
If you're building an AI agent that needs to remember things across conversations, this skill walks you through Redis Agent Memory (RAM), the managed memory layer on Redis Cloud. It covers the two-tier setup: session memory for appending conversation events and long-term memory for semantic search, plus the background promotion worker that extracts durable facts automatically. The rules are organized by priority and map directly to the official Python and TypeScript SDKs, so you get working code for authentication, event logging, bulk memory creation, and search with filters. Good coverage of when to use session events versus writing directly to long-term memory, which is the decision you'll hit first.
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- Repository
- github.com/redis/agent-skills
- Categories
- Backend & APIs, AI & Agent Building, Python, Cloud & Infrastructure, Databases, Video & Audio Editing
- First seen
- Jul 14, 2026
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