Zero-runtime-dependency caching and atomic state toolkit for Node.js services.
TypeScript-native MongoDB ODM with multi-level caching (cache-hub), distributed locks, Saga orchestration, unified expression system (122 operators), connection pool management, ChangeStream sync, slow-query logging, and full v1 API compatibility
Sentry hub which handles global state managment.
A cache object that deletes the least-recently-used items.
A lightweight cache for file metadata, ideal for processes that work on a specific set of files and only need to reprocess files that have changed since the last run
Require hook for automatic V8 compile cache persistence
A simple key/value storage using files to persist the data
A minimalistic JavaScript implementation of the Jinja templating engine, specifically designed for parsing and rendering ML chat templates.
Require hook for automatic V8 compile cache persistence
Parses Cache-Control and other headers. Helps building correct HTTP caches and proxies
Utilities to interact with the Hugging Face hub
AWS SDK for JavaScript Securityhub Client for Node.js, Browser and React Native
LRU and FIFO caches for Client or Server
TypeScript definitions for http-cache-semantics
Basic object cache with `get`, `set`, `del`, and `has` methods for node.js/javascript projects.
Tensorflow model converter for javascript
[](https://www.npmjs.com/package/@aws-sdk/endpoint-cache) [](https://www.npmjs.com/package/@aws-sdk/e
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Simple and fast NodeJS internal caching. Node internal in memory cache like memcached.
Create a full Content-Type header given a MIME type or extension and cache the result
Client library for connecting to the LangChain Hub.
A generational pseudo-LRU cache with strict maximum size limits.
Branch Metrics React Native SDK
The time-based use-recency-unaware cousin of [`lru-cache`](http://npm.im/lru-cache)
A complete, production-ready Ruby implementation of the HuggingFace Hub client library. Download models, datasets, and manage repositories with zero Python dependencies. Features smart caching, authentication, progress tracking, and comprehensive error handling.
Security pipelines for LLM applications using ONNX models from Hugging Face Hub. Detect prompt injections, jailbreaks, and PII leaks. Models are lazily downloaded and cached locally. Fast local inference (~10-20ms after initial load).
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