Node in Memory Key Value Store similar to Redis
Memory KV store for Uploadista
A simple in-memory key/value store.
Generic helper nodes used by the v0.5 workflow primitives — expr, ctx-publish, throw, log, audit-log, metrics-emit, in-memory-kv, json-schema. Designed to be small, predictable, AI-readable.
Routes requests to KV assets
Invert the key/value of an object. Example: `{foo: 'bar'}` → `{bar: 'foo'}`
Isomorphic key-value storage with support for multiple backends
Tomahawk plugin, implementing a Key Value Pair Store in Memory.
Memory / Redis abstraction for Directus
Fast, modern, in-memory key-value store for JavaScript. The perfect solution for caching in JavaScript.
The Aztec KV store is an implementation of a durable key-value database with a pluggable backend. The only supported backend right now is LMDB by using the [`lmdb-js` package](https://github.com/kriszyp/lmdb-js).
A Deno KV client library optimized for Node.js.
kv library - this library implements all the base functionality for NATS KV javascript clients
Self-learning LLM runtime — TurboQuant KV-cache (6-8x compression), SONA adaptive learning, FlashAttention, speculative decoding, GGUF inference
The next generation web framework for Cloudflare Workers
Simple abstract key-value json database
Utility functions for the workspace
Cache plugin for FrontMCP - Redis, Vercel KV, and in-memory caching with automatic tool result caching
MongoDB Server for testing (auto-download latest version). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.
HTTP server, in-memory store, plugin interface, and middleware for emulate service plugins.
Unstorage driver for integration with SCAYLE PaaS
A Deno KV client library optimized for Node.js
MongoDB Server for testing (core package, without autodownload). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.
Memory adapter for catbox
Oria (oh-rye-uh) is an in-memory, Ruby-based Key-Value store. It's designed to handle moderate amounts of data quickly and easily without causing deployment issues or server headaches. It uses EventMachine to provide a networked interface to a semi-persistent KVS and asynchronously writes the in-memory data to YAML files.
Use Mysql AUTO_INCREMENT to support key value cache, which should be combined by an integer and string. It means to reduce the database storage size, and improve query performance. All cache will store in process memory, and will never be expired, until the process dies, so the less kvs you use, the better performance you will get. BTW, 100,000 general strings use 10MB memory. Some relatived articles: http://en.wikipedia.org/wiki/Correlation_database Usage ------------------------------------------ ## setup ```ruby create_table :kv_browser_names, :options => 'ENGINE=MyISAM DEFAULT CHARSET=utf8' do |t| t.string :name t.timestamps end class KvBrowserName < ActiveRecord::Base include IdNameCache end ``` or ```ruby create_table :common_tag, :options => 'ENGINE=MyISAM DEFAULT CHARSET=utf8' do |t| t.integer :tagid t.string :tagname end class CommonTag < ActiveRecord::Base self.table_name = :common_tag self.primary_key = :tagid include IdNameCache; set_key_value :tagid, :tagname # include IdNameCache; set_key_value_without_create :tagid, :tagname # if you dont want create it automately end ``` ### use cases ```text ruby-1.9.3-rc1 :001 > QuizTag[1] QuizTag Load (0.3ms) SELECT `common_tag`.* FROM `common_tag` WHERE `common_tag`.`tagid` = 1 LIMIT 1 => "Android" ruby-1.9.3-rc1 :002 > QuizTag[1] => "Android" ruby-1.9.3-rc1 :003 > QuizTag['Android'] QuizTag Load (0.5ms) SELECT `common_tag`.* FROM `common_tag` WHERE `common_tag`.`tagname` = 'Android' LIMIT 1 => 1 ruby-1.9.3-rc1 :004 > QuizTag['Android'] => 1 ``` == Copyright MIT, David Chen at eoe.cn
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