How do I install redis-semantic-cache?

Run npx skills add redis/agent-skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.

Who publishes redis-semantic-cache?

redis. It is named as the official skill of Redis.

Is redis-semantic-cache maintained, and what licence does it use?

Its repository has 170 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-09-08. The repository declares the MIT licence.

InfratoApp / Resources / Agent skills / redis-semantic-cache

redis-semantic-cache

redis-semantic-cache is the official agent skill of Redis published by redis, listed under writing code. It lives in the redis/agent-skills repository, which has 170 GitHub stars and is licensed under MIT; we last read it on 2026-09-16.

This repository provides guidance on using Redis for semantic caching of LLM responses, connecting to Redis Cloud via SDK or REST API. It includes setting similarity thresholds, task-specific caching, and custom attribute filtering to optimize cache performance and reduce API costs.

by redis · one of 8 skills in redis/agent-skills →

Official — Redis

Install

skills is a generic installer for any repository of Claude agent skills -- it reads redis/agent-skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add redis/agent-skills

What it connects to

Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.

Maintenance

Stars

170

State

listed

Licence

MIT

From the repository

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.

View on GitHub ↗2026-09-16