Alternatives
Products that do what Stash, a graph-based cache for Node.js and Redis does
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…
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- 2DN
2015 · github.com
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2013 · redstone.io
- 8AL
2022 · github.com
- 9SC
2016 · stdlib.com
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2019 · github.com
- 11CH
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
- 12RC
2018 · github.com
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2020 · bedrock.io
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Have a look at my semantic caching project! It's built to easily integrate in existing LLM workflows, you can use it as a proxy where the cache forwards missed requests without modification to a specified upstream, automatically updating it's cache with the response. You can also use it as a cache-aside cache with a provided python library. It works by computing embedding vectors of input queries, and matches them to seen query + response pairs using a vector store. Everything is in-memory, so it should be blazing fast :)
2025 · github.com
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2019 · github.com
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2022 · wundergraph.com
- 17EG
2018 · stackshare.io
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2019 · github.com
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2018 · github.com
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Jun 2026 · github.com
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In my spare time I've been trying to solve the problem of network filesystems being too slow. To that end I've created CacheFS. CacheFS keeps a lazy local copy of your network drive in an attempt to make your network drive appear as fast as your local drive. The project is far from consumer-ready, but it has hit a major milestone: It caches reads and doesn't appear to corrupt anything. I'm throwing it out here in the off-chance that someone else finds it useful, and for constructive feedback. Enjoy! https://github.com/cconstantine/CacheFS
2011
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2015 · buckets.io
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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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2017 · github.com
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