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redis-development Claude Code Plugin

Author
Redis
Category
Database
Topics
Databases & Storage · Claude Code Customization & Workflow
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-09-24 (UTC)
Source (GitHub) last updated
2026-08-26 (UTC) (50 days ago)

The explanation below is AI-generated. Please verify it against the sources.

redis-development is a Claude Code plugin that packages a set of skills teaching AI coding agents Redis best practices. It covers core topics such as data structures, connection handling, search and vector search, semantic caching, clustering, security, observability, and Iris agent memory. According to the README, the skills are installable through the Agent Skills CLI, as a Claude Code plugin, or as a ChatGPT/Codex/Cursor plugin, and are loaded automatically when a relevant Redis-related task is detected. Each skill supplies structured instructions and reference material rather than executable integration code. The underlying subject matter is Redis, an in-memory data platform used for caching, search, and related workloads.

About the service

Redis is an in-memory data platform that provides key-value data structures, caching, full-text and vector search, streaming, session storage, and an agent memory/context layer (marketed as Iris and LangCache) available as open source software, self-managed software, or a managed cloud offering.

What you can do with redis-development

  • Learn Redis fundamentals such as data structures, key naming, memory/TTL management, atomic operations, and choosing between JSON, Hash, Streams, or Pub/Sub
  • Get guidance on connection handling: pooling, multiplexing, pipelining, client-side caching, timeouts, and identifying slow commands
  • Build search and retrieval features using FT. CREATE schemas, FT. SEARCH/FT. AGGREGATE/FT. HYBRID, vector similarity indexes (HNSW/FLAT), and RAG-style hybrid retrieval
  • Set up a semantic cache (LangCache) for LLM responses, including similarity threshold tuning and per-task cache separation
  • Review security practices covering authentication, TLS, ACL-based least privilege, network binding, and command renaming
  • Use observability tooling such as INFO metrics, SLOWLOG, MEMORY DOCTOR, FT. PROFILE, and Redis Insight for debugging
  • Work with Iris, Redis's agent memory feature, including provisioning, SDK authentication, session events, and long-term memory search

Sources

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