Alternatives
Products that do what Cachey does
cookie banner / npm
- 1CJ
2016 · github.com
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- 3SA
Last night, while trying to figure out the best way to implement caching in my app, I had an idea for a dirt-simple caching system based on a dependency graph. The premise I started with is that one of the hardest things to manage in a cache is dependencies between entities. In order to cache items effectively, you inevitably have to duplicate "child" data inside of "parent" entries. Then, when a child is changed, you have to invalidate the child and its parents, and its parents' parents, and so on. To try to help this, I hacked together a simple Node.js library called Stash, which models…
2012
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- 7SJ
2017 · github.com
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- 10AY
2016 · ubercookie.robinlinus.com
- 11

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- 13AI
2016 · m.signalvnoise.com
- 14CC
2017 · javalin.io
- 15DN
2015 · github.com
- 16AT
While building a chat application I couldn't find find a free and opensource tool to store user sessions. This led to redcache-ai. The tool helps with semantic search, Retrieval Augmented Generation(RAG) and storage. This is an early version undergoing rapid iteration. Happy to answer questions and hear feedback.
2024 · github.com
- 17CU
2019 · github.com
- 18RC
2018 · github.com
- 19RT
2017 · github.com
- 20CH
Hi, I'm fiiv, and I'm the creator of Cache Horse. I built it because I wanted an easy plug-n-play solution to caching and simplifying HTTP requests - in particular, on frontend. First, I was fetching data like daily weather, historic currency exchange numbers, air quality readings - and many of those APIs have quota limits. And second, since I was already caching them, I thought it would be useful to batch them together - so I built that feature in. I would love to hear your feedback and thoughts on the project. Thanks!
2025 · cache.horse
- 21RCRedux-cache▲11
2017 · github.com
- 22CA
Jun 2026 · github.com
- 23CC
2021 · cookies.digger.dev
- 24AA
The weekend of last week I built chat.betterdb.com as a RAG over Valkey/Redis/Dragonfly docs. The goal was to eat our own dogfood and test publicly our caching libraries. It also saved me from having to come up with various demo/test scenarios, as I could extend the building in public to the demo. There is a tool-result cache sitting between the SDK and tools. Each call is normalized and then checked before executing. If it hits we return from the cache, and if not, we check the semantic cache, which embeds the prompt and checks with KNN via valkey-search. If the cosine…
May 2026
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