redis-development Claude Code Plugin
Claude Code PluginClaude CodeDatabaseDatabases & StorageAI Agents & AI App DevelopmentClaude Code Customization & WorkflowThe explanation below is AI-generated. Please verify it against the sources.
This is a Claude Code plugin that bundles a set of skills to help AI coding agents follow Redis development best practices. According to the README, the skills cover core data modeling, connection handling, search and vector querying, semantic caching, clustering, security, and observability, plus a skill for Redis Agent Memory (Iris). Each skill is packaged as instructions and reference material that the agent consults when a relevant task is detected. The collection can be installed via the Agent Skills CLI, as a Claude Code plugin, as a ChatGPT/Codex plugin, or as a Cursor plugin. It is licensed under MIT.
About the service
Redis, as described on its homepage, is an in-memory data platform offering caching, search, vector search, streaming, session management, and agent memory features, available both as open source software and as managed offerings such as Redis Cloud and Redis Software. This skill collection is built to assist developers working with that Redis platform rather than being a SaaS product itself.
What you can do with redis-development
- Get guidance on choosing Redis data structures, key naming, memory/TTL handling, atomic operations, JSON vs Hash usage, and Streams vs Pub/Sub
- Review connection handling practices such as pooling, multiplexing, pipelining, client-side caching, timeouts, and identifying slow commands
- Build and tune search and vector queries with FT.CREATE, FT.SEARCH, FT.AGGREGATE, FT.HYBRID, and HNSW/FLAT vector similarity for RAG pipelines
- Set up semantic caching for LLM responses with LangCache, including cache-aside flow and similarity threshold tuning
- Address Redis Cluster concerns like hash tags, avoiding CROSSSLOT errors, and reading from replicas
- Apply security practices covering authentication, TLS, ACL-based least privilege, network binding, and command renaming
- Monitor and debug Redis using INFO metrics, SLOWLOG, MEMORY DOCTOR, FT.PROFILE, and Redis Insight
- Work with Redis Agent Memory (Iris) for provisioning, SDK authentication, session events, and long-term memory search