Search Results for "memory usage"
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Showing 656 open source projects for "memory usage"
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Windows Memory Cleaner (WMC)
Free RAM cleaner uses native Windows features to optimize memory areas
...The application can automatically clean memory based on time intervals or when available RAM drops below a defined threshold. It also supports both GUI usage and command-line automation, making it suitable for everyday users and advanced workflows alike. Overall, WinMemoryCleaner focuses on improving system responsiveness and performance, especially on machines with limited memory resources. -
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TencentDB Agent Memory
TencentDB Agent Memory delivers fully local long-term memory for AI
...The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency. -
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tmux-mem-cpu-load
CPU, RAM, and load monitor for use with tmux
tmux-mem-cpu-load is a lightweight system monitoring utility designed for the tmux status line. It gives terminal users a compact way to view memory usage, CPU usage, and system load without opening a separate monitoring program. The tool is especially useful for developers, server administrators, and power users who spend long sessions inside tmux. It displays used and available memory in a concise format that fits naturally in a terminal status bar. It also shows CPU usage as a percentage and can include a small text-based usage graph. ... -
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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... -
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Stats
macOS system monitor in your menu bar
Stats currently supported on macOS 10.13 (High Sierra) and higher. Stats is an application that allows you to monitor your macOS system. CPU utilization, GPU utilization, memory usage, disk utilization, sensors information (Temperature/Voltage/Power), battery level, network usage, fans speed, fan control, and Bluetooth devices. Supports many languages, such as English, Polski, Українська, Русский, and many more. You can help by adding a new language or improve existing translation. -
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OSHI
Native Operating System and Hardware Information
...It does not require the installation of any additional native libraries and aims to provide a cross-platform implementation to retrieve system information, such as OS version, processes, memory and CPU usage, disks and partitions, devices, sensors, etc. -
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dockprom
Docker hosts and containers monitoring with Prometheus, Grafana, etc.
...You can change the credentials in the compose file or by supplying the ADMIN_USER and ADMIN_PASSWORD environment variables on compose up. Grafana is preconfigured with dashboards and Prometheus as the default data source. The Docker Host Dashboard shows key metrics for monitoring the resource usage of your server. Server uptime, CPU idle percent, number of CPU cores, available memory, swap and storage. System load average graph, running and blocked by IO processes graph, interrupts graph. CPU usage graph by mode (guest, idle, iowait, irq, nice, softirq, steal, system, user). Memory usage graph by distribution (used, free, buffers, cached). ... -
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TaskExplorer
Powerful system task manager
...It includes advanced panels: a Thread Panel with stack traces (helpful for diagnosing deadlocks or hangs), a Memory Panel that lets you view or even edit process memory (with search capabilities), a Socket Panel showing open network connections, data rates, pseudo-UDP connections (via ETW), and a Modules Panel listing all loaded DLLs and memory-mapped files. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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Pingora
A library for building fast, reliable and evolvable network services
Pingora is a Rust-based high-performance HTTP proxy and networking framework developed by Cloudflare to eventually replace NGINX. Designed for extreme reliability and memory-safe concurrency, it handles over 40 million requests per second in production and reduces CPU/memory usage significantly compared to traditional web servers. -
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Hermes Desktop
Desktop Companion for Hermes Agent
Hermes Desktop is a native desktop application that simplifies the installation, configuration, and daily use of Hermes Agent, an AI assistant with advanced tool usage and self-improving capabilities. It provides an intuitive graphical interface that eliminates the need to manage Hermes through command-line tools. Users can connect to local or remote Hermes instances while accessing chat, memory management, skills, tools, profiles, and scheduling from a single workspace. The platform supports multiple AI providers, including OpenAI, Anthropic, Google Gemini, Grok, OpenRouter, and local model endpoints. ... -
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Martin
Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server
Martin is a fast and lightweight tile server for serving vector and raster tiles from PostGIS-enabled PostgreSQL databases. Written in Rust, it is optimized for performance and low memory usage, making it suitable for production geospatial applications. Martin supports modern web mapping standards and integrates seamlessly with MapLibre and other mapping libraries. -
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Claude-Mem
Claude Code plugin that automatically captures everything Claude does
Claude-Mem is a persistent memory compression system built specifically for Claude Code to preserve context across coding sessions. It automatically captures Claude’s tool usage, observations, and decisions, then compresses them into semantic memories that carry forward into future sessions. By enabling long-term continuity, Claude-Mem helps Claude “remember” project history, past fixes, and prior reasoning even after restarts or reconnects. -
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AirLLM
AirLLM 70B inference with single 4GB GPU
AirLLM is an open source Python library that enables extremely large language models to run on consumer hardware with very limited GPU memory. The project addresses one of the main barriers to local LLM experimentation by introducing a memory-efficient inference technique that loads model layers sequentially rather than storing the entire model in GPU memory. This layer-wise inference approach allows models with tens of billions of parameters to run on devices with only a few gigabytes of... -
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Gocache
Go cache library that brings you multiple ways to manage caches
Guess what is Gocache? a Go cache library. This is an extendable cache library that brings you a lot of features for caching data. Multiple cache stores: actually in memory, redis, or your own custom store. A chain cache: use multiple cache with a priority order (memory then fallback to a redis shared cache for instance) A loadable cache: allow you to call a callback function to put your data back in cache. A metric cache to let you store metrics about your caches usage (hits, miss, set success, set error, ...) ... -
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leak-check
Personal Information “Leakage ” Detection Interface
leak-check is a utility designed to help developers detect memory leaks and resource mismanagement in applications. It provides tools to monitor allocations, track usage patterns, and identify potential leaks during runtime. The project focuses on improving application stability by highlighting inefficiencies in memory handling. It can be integrated into development workflows to catch issues early in the debugging process. leak-check is particularly useful in performance-critical applications where memory management is essential. ... -
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Hello-Agents
Building an Intelligent Agent from Scratch
Hello Agents is an open educational project designed to teach developers how to understand, design, and build AI-native agents from the ground up through structured tutorials and practical examples. The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step task execution, enabling hands-on experimentation with modern LLM-powered agent systems. The repository is structured as a progressive learning path, combining theory, exercises, and runnable code so users can incrementally build more capable agents. ... -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
...The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU memory usage / improve efficiency. Parallel inference code to speed up sampling, utilities and tests included. -
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libmdbx
One of the fastest embeddable key-value ACID database
libmdbx (Lightning Memory-Mapped Database Extended) is a high-performance, key-value database library derived from LMDB (Lightning Memory-Mapped Database). It is designed for fast, scalable, and ACID-compliant data storage with minimal resource consumption. -
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mactop
Apple Silicon Monitor Top
mactop is a terminal-based monitoring tool designed specifically for Apple Silicon Macs. It displays real-time system metrics such as CPU usage, GPU usage, ANE activity, memory usage, power consumption, temperatures, fan speeds, disk I/O, and network activity. The tool uses native Apple APIs including SMC, IOReport, IOKit, IOHIDEventSystemClient, and Mach Kernel APIs to collect detailed hardware data without requiring sudo for core monitoring. mactop supports Apple Silicon models from M1 through M5, including Pro, Max, and Ultra variants, as well as newer core types like M5 S-Cores. ... -
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SMUX
A stream multiplexing library for Golang with minimal memory usage
...It is designed for transports such as TCP or KCP, where ordering and reliability are already provided by the lower layer. The library uses sessions, streams, and frames to manage many independent data flows over a single connection. It focuses on controlled memory usage, smooth receiving behavior, fair traffic shaping, and small protocol overhead. Its design includes a session-wide receive buffer, minimized 8-byte headers, and per-stream sliding windows in newer protocol versions. smux is especially useful for networking software that needs efficient connection management without opening a separate socket for every stream. -
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Nebulex
In-memory and distributed caching toolkit for Elixir
Nebulex provides support for transparently adding caching into an existing Elixir application. Similar to Ecto, the caching abstraction allows consistent use of various caching solutions with minimal impact on the code. Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage... -
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pg_mooncake
Real-time analytics on Postgres tables
pg_mooncake is a PostgreSQL extension that brings observability and performance insights to your database by exposing low-level metrics and analytics. It provides developers with enhanced visibility into query execution, memory usage, and system behavior. Ideal for fine-tuning Postgres performance, pg_mooncake is designed for those who need actionable insights without external tools. -
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Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency.
