AI Memory MCP Server - Persistent memory and codebase understanding for AI coding assistants
🧠 AI Memory System powered by MongoDB Atlas & Voyage AI - Autonomous memory management with zero manual work
memlab is a framework that analyzes memory and finds memory leaks in JavaScript applications.
VoltAgent Core - AI agent framework for JavaScript
[Hypertune](https://www.hypertune.com/) is the most flexible platform for feature flags, A/B testing, analytics, and app configuration. Built with full end-to-end type safety, Git-style version control and local, synchronous, in-memory flag evaluation. Op
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.
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.
Memory adapter for Better Auth
Memory adapter for catbox
Access memory using small fixed sized buffers
Apache Arrow columnar in-memory format
Local-first AI engineering, visual generation, long-video production, memory, tools, and mobile automation in one command-line workspace.
High Performance In-Memory Cache for Node.js
A set of efficient utilities that extend the use of JSON (streaming, estimate size, NDJSON/JSONL, etc.)
Zep: Fast, scalable building blocks for production LLM apps
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A simple in-memory filesystem. Holds data in a javascript object.
Convert Slate JSON to HTML and HTML to Slate. Built on htmlparser2 and shared DOM config with @slate-serializers/dom.
React component library to generate the HTML emails on the fly
A skill-driven framework for governed artefact generation with AI coding tools. Define your own artefact types, laws, and flows — Foundry handles the forge → quench → appraise pipeline with deterministic routing, quality gates, and iterative refinement.
Shared memory for AI coding sessions — MCP server + background daemon
JavaScript Performance Monitor
Node.js atomic and non-atomic counters, rate limiting tools, protection from DoS and brute-force attacks at scale
Local-first, explainable AI memory engine for embedded and service-based systems
Professional-grade persistent project memory for AI coding assistants - No more explaining the same codebase repeatedly
Gekko is a bare-bones order matcher whose task is to accept orders and maintain an order book.
A dangerous Ruby blog engine, with a photographic memory.
In-memory naive search engine.
Eruby Engine that caches text strings in memory
Yep
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
Memori Client to interact with Memori backend and engine API
HeapPeriscopeUi is a Rails engine designed to help developers monitor, visualize, and diagnose memory-related issues within their Ruby applications. It functions by listening for UDP packets containing GC profiler reports and heap snapshots, typically transmitted by a companion agent (like `heap_periscope_agent`). The engine efficiently processes this data: GC reports are batched for optimized database insertion, while comprehensive heap snapshots, including detailed object counts by class, are stored transactionally. Furthermore, HeapPeriscopeUi can broadcast incoming metrics via ActionCable for real-time dashboard updates. Its integrated web interface allows users to browse, filter, and analyze the collected profiler reports, facilitating the identification of memory leaks, excessive object allocations, and opportunities for performance optimization.
The BigQuery Reservation API provides the mechanisms by which enterprise users can provision and manage dedicated resources such as slots and BigQuery BI Engine memory allocations.
A Rails engine for monitoring memory health and detecting growth patterns in production applications
Ruby bindings for the Lora in-memory graph database. Exposes the embedded Rust engine as a native extension via Magnus/rb-sys, so queries run in-process without a separate server.
Shrine is a toolkit for file attachments in Ruby applications. It supports uploading, downloading, processing and deleting IO objects, backed by various storage engines. It uses efficient streaming for low memory usage. Shrine comes with a high-level interface for attaching uploaded files to database records, saving their location and metadata to a database column, and tying them to record's lifecycle. It natively supports background jobs and direct uploads for fully asynchronous user experience.
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