Search Results for "memory usage" - Page 8
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Showing 656 open source projects for "memory usage"
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LangChain for Java
LangChain4j is an open-source Java library
LangChain for Java is an open-source Java framework designed to simplify the development of applications powered by large language models. The library provides a unified API that allows developers to connect Java applications to multiple AI providers and embedding databases without having to implement separate integrations for each service. Its architecture includes abstractions for prompts, chat interactions, document processing, embeddings, and vector storage, enabling developers to build... -
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LuxTTS
A high-quality rapid TTS voice cloning model
...The project supports zero-shot voice cloning, meaning it can adapt to a reference speaker’s voice with minimal example data, enabling realistic and personalized synthetic speech. Intended for developers, hobbyists, and creators, the repository includes installation instructions, usage examples, and Python APIs that make it feasible to integrate the model in local workflows, web demos, or production systems. Its design emphasizes efficiency and practicality, fitting within modest GPU memory footprints. -
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Checkmate
Checkmate is an open-source, self-hosted tool
...The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects hardware metrics such as CPU, memory, disk usage, and temperature from remote machines. The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. Overall, the platform serves as a comprehensive, developer-friendly alternative to commercial uptime and infrastructure monitoring tools. -
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TensorFlow Model Optimization Toolkit
A toolkit to optimize ML models for deployment for Keras & TensorFlow
...Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model and optimization tool depending on your task. In many cases, pre-optimized models can improve the efficiency of your application. Try the post-training tools to optimize an already-trained TensorFlow model. ... -
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plakar
plakar is a backup solution powered by Kloset and ptar
...Its main value is giving users and organizations a practical backup system that combines simple operation, strong protection, and support for large datasets with limited memory usage. -
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Private Mind
Your private AI mind. In your pocket
...It supports customizable AI behavior, including choosing supported models, uploading models, and adjusting system prompts. The project also includes built-in benchmarking so users can compare performance, speed, and memory usage on their own hardware. Its main value is making personal AI feel private, portable, free, and usable without accounts, subscriptions, or an internet connection. -
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React Native Screens
Native navigation primitives for your React Native app
...It is not mainly intended as a standalone app-facing library, but as a foundation used by full navigation systems. By relying on native screen containers, it can improve memory usage, navigation performance, and platform consistency. The library is commonly used with React Navigation and native stack navigators. It supports modern navigation patterns such as stacks, modals, headers, and sheet-style presentations. Its main value is helping React Native navigation feel closer to native iOS and Android behavior while improving efficiency behind the scenes. -
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Orion Visor
A high-value, modern automated operation and maintenance
...It also includes online terminals, file management, batch command execution, multi-host file distribution, and scheduled tasks through cron expressions. orion-visor adds monitoring and alerting for system metrics such as CPU, memory, disk, and network usage. Its main purpose is to make routine server operations safer, more visible, and more efficient through a web-based operational workspace. -
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Cowboy
Small, fast, modern HTTP server for Erlang/OTP
Cowboy is a small, fast, modern HTTP server for Erlang and OTP applications. It provides a complete HTTP stack while keeping the codebase compact and optimized for low latency and low memory usage. Cowboy supports routing, request dispatching, HTTP handlers, REST handlers, WebSocket connections, and long-lived streaming-style interactions. Because it uses Ranch for connection management, it can be embedded directly inside larger Erlang systems rather than deployed only as a separate web server. The project is well suited for real-time systems, APIs, messaging infrastructure, telecom-style applications, and fault-tolerant services that benefit from the Erlang runtime. ... -
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NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying... -
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NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
...The API is written in C and includes wrappers for C++ and Python, making it accessible across different programming environments and workloads. NVTX is particularly valuable in high-performance computing and AI workloads where understanding concurrency, memory usage, and kernel execution is critical for optimization. -
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AgentGuide
AI Agent Development Guide, LangGraph in Action, Advanced RAG
...Instead of presenting scattered resources, the repository organizes them into a systematic learning roadmap that guides learners from foundational concepts to advanced AI agent systems. The guide covers topics such as agent frameworks, retrieval-augmented generation systems, multi-agent collaboration, memory management, and tool usage. It also includes practical projects, interview preparation materials, and curated research papers related to AI agents and LLM engineering. The project is designed not only for learning but also for career preparation, helping developers understand how to build portfolio projects and prepare for AI engineering roles. -
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XZ Utils
Open-source compression utility and library
...It provides both command-line tools and a reusable C library, enabling developers and system administrators to compress and decompress files efficiently across many environments. The project is known for delivering strong compression performance while maintaining reasonable memory usage, making it suitable for software distribution, backups, and archival workflows. xz is commonly included in Unix-like operating systems and is often used as a standard packaging format in Linux ecosystems. The toolkit supports streaming, multi-threaded operation, and integrity checking to ensure reliable data handling. Overall, xz serves as a foundational compression technology for modern open-source software distribution and storage optimization. -
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Ajenti 2
Ajenti Core and stock plugins
...Plugin development is quick and pleasant with Ajenti APIs. Write your first plugin. Pleasant to look at, satisfying to click and accessible anywhere from tablets and mobile. Small memory footprint and CPU usage. Runs on low-end machines, wall plugs, routers and so on. -
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tinysearch
Tiny, full-text search engine for static websites built with Rust
...It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. TinySearch is particularly well-suited for blogs and documentation sites generated by static site generators, where simplicity and performance are critical. It processes content into a serialized binary index that can be loaded quickly and searched client-side, eliminating the need for external search services. ... -
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Chitu
High-performance inference framework for large language models
...Chitu is designed to scale from small single-machine deployments to large distributed clusters that handle high volumes of concurrent inference requests. The system also includes performance optimizations for large models, including support for quantized formats and efficient computation operators that reduce memory usage and latency. Its architecture aims to support enterprise adoption by ensuring stable long-term operation under production workloads. -
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Coroot
Open-source observability for microservices
...Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior. -
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Devtron
Tool integration platform for Kubernetes
...Provides deployment metrics like; deployment frequency, lead time, change failure rate, and mean-time recovery. Seamlessly integrates with Grafana for continuous application metrics like CPU and memory usage, status code, throughput, and latency on the dashboard. -
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AWS IoT Device Defender Library
Client library for using AWS IoT Defender service on embedded devices
...This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. ... -
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Context Hub
Makes coding agents get smarter with every task
...Context Hub is especially useful for teams that use AI coding assistants and want more reliable API usage, fewer hallucinated calls, and a transparent source of agent-readable context. -
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Sail
A drop-in Apache Spark replacement written in Rust
...It also emphasizes cost efficiency, with benchmarks showing significant performance improvements and reduced infrastructure usage compared to traditional systems. -
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Worktale
Turns git history into a personal record of what you actually built
Worktale is a local-first developer productivity tool designed as a command-line interface that transforms raw Git history into a structured, human-readable record of a developer’s actual work output. Instead of relying on memory, scattered commits, or external tracking tools, it automatically captures and organizes commit activity into a cohesive narrative that reflects what was built, when, and how. The tool operates entirely on the user’s machine, scanning repositories and installing... -
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Dayflow
Automatic AI-powered timeline of your daily work activity logs
...It continuously captures lightweight snapshots of the screen and processes them at intervals using AI to produce contextual summaries of what the user was actually doing. Unlike traditional time trackers that only log application usage, it focuses on understanding the intent behind activities, distinguishing productive work from distractions. It is built as a native SwiftUI application and emphasizes efficiency, using minimal CPU and memory while running in the background. A strong focus is placed on privacy, as all captured data remains local by default and users can choose their preferred AI provider, including local models or external services. ... -
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Extractous
Fast and efficient unstructured data extraction
...Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. It also supports OCR for images and scanned documents through Tesseract, making it useful for document ingestion pipelines that include image-based or scanned inputs. -
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WGCLOUD
Visibility into servers, applications, and infrastructure
...Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature, memory utilization, disk performance, network throughput, and hardware health while also supporting monitoring of processes, containers, ports, and databases. The platform includes advanced operational capabilities such as web-based SSH access, batch command execution, and visual topology generation, making it more than a passive monitoring tool. wgcloud is intended for private, self-hosted deployments where organizations want full control over monitoring data without relying on external cloud services.
