Search Results for "memory ram"
Sort By:
Showing 166 open source projects for "memory ram"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
1
Windows Memory Cleaner (WMC)
Free RAM cleaner uses native Windows features to optimize memory areas
Windows Memory Cleaner (aka WMC or WinMemoryCleaner) is a lightweight, portable Windows utility designed to optimize system memory using native Windows API functions. It provides a transparent and user-friendly interface for freeing up RAM that is often held unnecessarily by cached data or inefficient processes. Unlike many “RAM booster” tools, it relies entirely on documented system methods rather than hidden tricks or unsafe optimizations. -
2
Memtest86+
Stand-alone memory tester for x86 and x86-64 architecture computers
Memtest86+ is a free, open-source, stand-alone memory diagnostic tool designed to thoroughly test system RAM beyond standard BIOS checks. It runs independently of any operating system, allowing it to access nearly all available memory without software or UEFI library limitations. Supporting x86, x86-64, and LoongArch64 architectures, Memtest86+ works on a wide range of modern and legacy hardware platforms. -
3
PicoLM
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
PicoLM is an open-source inference framework designed to run large language models on extremely constrained hardware environments such as inexpensive single-board computers and embedded systems. The project focuses on enabling efficient local inference by optimizing memory usage, computation, and system dependencies so that relatively large models can operate on devices with minimal RAM. It is written primarily in C and designed with a minimalist architecture that removes unnecessary dependencies and external libraries. The runtime is capable of running language models with billions of parameters on devices with only a few hundred megabytes of memory, which is significantly lower than typical LLM infrastructure requirements. ... -
4
ArduinoJson
JSON library for Arduino and embedded C++. Simple and efficient
...ArduinoJson has a simple and intuitive syntax to handle objects and arrays. ArduinoJson supports both JSON serialization and deserialization. ArduinoJson uses a fixed memory allocation, allowing to work on devices with very little RAM. ArduinoJson can filter large inputs to keep only fields that are relevant to your application, thereby saving a lot of memory. ArduinoJson can parse directly from an input Stream or std::istream. ArduinoJson can produce compact or prettified documents. ArduinoJson works directly with strings stored in program memory. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
5
TrafficMonitor
Floating window used to display current network speed, CPU & memory
TrafficMonitor is a network monitoring software with floating window feature for Windows. It displays the current internet speed and CPU and RAM usage. There are also other capabilities like an embedded display in the taskbar, changeable display skins, and historical traffic statistics. There are two versions of TrafficMonitor, the standard version and the Lite version. The standard version includes all the functions, while the Lite version does not include hardware monitoring functions such... -
6
LVGL
Powerful and easy-to-use embedded GUI library with many widgets
Powerful and easy-to-use embedded GUI library with many widgets, advanced visual effects (opacity, antialiasing, animations), and low memory requirements (16K RAM, 64K Flash). LVGL provides everything you need to create an embedded GUI with easy-to-use graphical elements, beautiful visual effects, and a low memory footprint. LVGL is an open-source graphics library providing everything you need to create an embedded GUI with easy-to-use graphical elements, beautiful visual effects, and a low memory footprint. ... -
7
Vectras VM
It's a Virtual Machine App for Android Which is Based on QEMU
...Due to the heavy computational requirements, it is optimized for newer devices with high-end processors and sufficient memory. -
8
Volatility
An advanced memory forensics framework
Volatility is a widely used open-source framework for analyzing memory captures (RAM dumps) from Windows, Linux, and macOS systems. It enables investigators and malware analysts to extract process lists, network connections, DLLs, strings, artifacts, and more. Volatility supports many plugins for detecting hidden processes, malware, rootkits, and event tracing. It’s essential in digital forensics and incident response workflows. -
9
Memcached
memcached development tree
Memcached is a high-performance, open-source distributed memory caching system, typically used to accelerate dynamic, database-driven websites by storing frequently accessed data in RAM. To build memcached on your machine from the local repo, you will have to install autotools, automake, and libevent. If you want TLS support, install OpenSSL's development packages and change the configure line. libseccomp (optional, experimental, Linux), enables process restrictions for better security. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
10
JerryScript
Ultra-lightweight JavaScript engine for the Internet of Things
JerryScript is a lightweight JavaScript engine for resource-constrained devices such as microcontrollers. It can run on devices with less than 64 KB of RAM and less than 200 KB of flash memory. -
11
NullClaw
Fastest, smallest, and fully autonomous AI assistant infrastructure
NullClaw is the smallest fully autonomous AI assistant infrastructure, built entirely in Zig as a single static binary with zero runtime dependencies. At just 678 KB with ~1 MB peak RAM usage, it boots in under 2 milliseconds and runs on virtually any hardware, including low-cost ARM boards. Despite its size, it delivers a complete AI stack with 22+ model providers, 18+ communication channels, integrated tools, hybrid memory, and sandboxed runtime support. Its architecture is fully modular, using vtable interfaces that allow providers, channels, tools, memory backends, and runtimes to be swapped without code changes. ... -
12
DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
13
llmfit
157 models, 30 providers, one command to find what runs on hardware
llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. ... -
14
mac code
Claude Code, but it runs on your Mac for free
mac code is a local AI coding agent designed to run large language models directly on Apple Silicon machines without relying on cloud services, effectively transforming a Mac into a self-contained AI development environment. The project focuses on enabling models that traditionally exceed available RAM to run efficiently by streaming model weights from SSD storage, thereby overcoming hardware limitations through innovative memory management techniques. It operates as a CLI-based assistant that routes user prompts into different execution paths such as chat, shell commands, or web search, functioning as a multi-purpose development agent. ... -
15
FlareSolverr
Proxy server to bypass Cloudflare protection
...The HTML code and the cookies are sent back to the user, and those cookies can be used to bypass Cloudflare using other HTTP clients. Web browsers consume a lot of memory. If you are running FlareSolverr on a machine with few RAM, do not make many requests at once. With each request, a new browser is launched. It is also possible to use a permanent session. However, if you use sessions, you should make sure to close them as soon as you are done using them. It is recommended to install using a Docker container because the project depends on an external browser that is already included. -
16
StringZilla
10x faster string search, split, sort, and shuffle for long strings
...The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
17
Datasets
Hub of ready-to-use datasets for ML models
...Load a dataset in a single line of code, and use our powerful data processing methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. We also feature a deep integration with the Hugging Face Hub, allowing you to easily load and share a dataset with the wider NLP community. There are currently over 2658 datasets, and more than 34 metrics available. Datasets naturally frees the user from RAM memory limitation, all datasets are memory-mapped using an efficient zero-serialization cost backend (Apache Arrow). ... -
18
MicroQuickJS
Public repository of the Micro QuickJS Javascript Engine
MicroQuickJS (MQuickJS) is a compact JavaScript engine designed specifically for embedded systems where memory and storage are extremely limited. Its primary goal is to compile and run JavaScript programs using minimal RAM, making it suitable for microcontrollers and constrained devices that cannot host a full-featured runtime. The engine is intentionally small in ROM footprint while still providing practical performance comparable to lightweight desktop-grade embeddable engines in its class. ... -
19
Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
...Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files. Furthermore, this parser has a minimal memory footprint and can handle larger-than-RAM files. -
20
Netty-socketio
Socket.IO server implemented on Java
...YourKit is kindly supporting this open source project with its full-featured Java Profiler. YourKit, LLC is the creator of innovative and intelligent tools for profiling Java and .NET applications. CentOS, 1 CPU, 4GB RAM runned on VM, CPU 10%, Memory 15%, 6000 xhr-long polling sessions or 15000 websockets sessions, 4000 messages per second. -
21
Swarmpit
Lightweight mobile-friendly Docker Swarm management UI
Swarmpit is an open-source, self-hosted web dashboard that simplifies Docker Swarm cluster operations. It offers management of stacks, services, secrets, volumes, networks, and allows secure team access. It visualizes real-time CPU/memory/disk metrics, supports private registry integration, and streamlines deployment flows. The interface is mobile-friendly and privacy-focused—collecting no telemetry. -
22
gensim
Topic Modelling for Humans
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community. -
23
GPU Hot
Real-time NVIDIA GPU dashboard
GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. The dashboard collects and displays a wide range of performance metrics... -
24
Flutter Server Box
ServerBox - server status & toolbox
Flutter Server Box (aka ServerBox) is a Flutter app that monitors and manages Linux servers. It provides charts for CPU, memory, disk, network, and tools like SSH terminal, file manager, and commands via dartssh2 & xterm.dart. Available on iOS, Android, desktop, and TV platforms, it's community-acclaimed as a lightweight alternative to Termius/ServerCat. -
25
Static Web Server
A cross-platform, high-performance and asynchronous web server
Static Web Server (or SWS abbreviated) is a tiny and fast production-ready web server suitable to serve static web files or assets. It is focused on lightness and easy-to-use principles while keeping high performance and safety powered by The Rust Programming Language. Written on top of Hyper and Tokio runtime, it provides concurrent and asynchronous networking abilities and the latest HTTP/1 - HTTP/2 implementations. Cross-platform and available for Linux, macOS, Windows, FreeBSD, NetBSD,...
