Search Results for "memory usage" - Page 5
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Showing 526 open source projects for "memory usage"
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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agentic-stack
One brain, many harnesses. Portable .agent/ folder
...It likely provides components for managing agent workflows, communication, and task execution across different systems. The project emphasizes modularity, enabling developers to assemble custom pipelines using various AI models, tools, and APIs. It may include abstractions for memory, planning, and tool usage, reflecting modern agentic AI design patterns. The stack is intended to accelerate development by providing reusable building blocks for complex AI systems. Overall, it represents an infrastructure layer for creating autonomous or semi-autonomous AI applications. -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. -
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Flowise
Drag & drop UI to build your customized LLM flow
Open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Conversational agent for a chat model which utilizes chat-specific prompts and buffer memory. Open source is the core of Flowise, and it will always be free for commercial and personal usage. Flowise support different environment variables to configure your instance. You can specify the following variables in the .env file inside the packages/server folder. -
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django-health-check
a pluggable app that runs a full check on the deployment
...If you are monitoring health in a high-availability environment with a load balancer that returns responses from multiple nodes, please note that certain checks (e.g., disk and memory usage) will return responses specific to the node selected by the load balancer. -
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Laravel Chunk Upload
The basic implementation for chunk upload with multiple providers
Laravel Chunk Upload simplifies chunked uploads with support for multiple JavaScript libraries atop Laravel's file upload system, designed with a minimal memory footprint. Features include cross-domain request support, automatic cleaning, and intuitive usage. -
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llama.cpp
LLM inference in C/C++
llama.cpp is a high-performance C and C++ project for running large language models locally and in the cloud with minimal setup. It is built around efficient inference, broad hardware support, and the GGUF model format. The project supports many model families and has become a major foundation for local AI tools, model serving, and embedded inference workflows. It provides command-line tools, a server mode with an OpenAI-compatible API style, model conversion utilities, and extensive backend... -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
...LangChainGo also includes support for embeddings, semantic search, and retrieval-augmented generation, enabling developers to build data-aware applications. With built-in abstractions for agents and tool usage, it enables the creation of systems that can reason, take actions, and interact with their environment. -
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PyBoy
Game Boy emulator written in Python
PyBoy is an open-source Game Boy emulator written in Python, designed for both gameplay and AI experimentation. It allows users to run classic Game Boy games while providing a powerful API for automation, scripting, and reinforcement learning. Developers can interact directly with game memory, inputs, and screen data, making it ideal for training bots and analyzing game mechanics. PyBoy emphasizes performance, enabling accelerated emulation speeds and frame skipping for large-scale... -
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Danghuangshang
AI Court Building Complete Tutorial - From Zero Basics to Advanced
...Agents can be assigned responsibilities such as coding, architecture, finance, operations, marketing, project management, legal review, and automated code inspection. The system includes memory, scheduled tasks, sandbox isolation, multi-platform access, and a web dashboard for monitoring status and usage. It is intended for users who want a practical AI agent team template rather than a low-level framework they must assemble from scratch. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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TechCPP
C++ learning and interview guide aimed at back-end systems developers
...The repository organizes topics so you can quickly locate weak spots before interviews or brush up for day-to-day coding. It’s equally useful as a revision handbook and as a roadmap for engineers moving from “effective C++ usage” toward “systems-level competence”. -
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Build Your Own OpenClaw
A step-by-step guide to build your own AI agent
Build Your Own OpenClaw is a step-by-step educational framework that teaches developers how to construct a fully functional AI agent system from scratch, gradually evolving from a simple chat loop into a multi-agent, production-ready architecture. The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable code. It begins with foundational concepts like conversational loops and tool integration, then expands into more advanced capabilities such as dynamic skill loading, web interaction, and context management. ... -
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Whisper-WebUI
A Web UI for easy subtitle using whisper model
...Built with Gradio, it allows users to upload audio or video files, process them locally, and generate accurate text outputs without relying on command-line tools. The platform integrates optimized implementations such as faster-whisper, significantly improving transcription speed and reducing memory usage compared to standard models. It supports multiple input sources including local files, YouTube content, and microphone input, making it versatile for different workflows. Whisper WebUI also includes advanced preprocessing and postprocessing features such as voice activity detection, background music separation, and speaker diarization, enabling more accurate and structured outputs. -
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SDGym
Benchmarking synthetic data generation methods
...Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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Firecracker
Secure and fast microVMs for serverless computing
Firecracker is an open-source virtualization technology developed by AWS for deploying secure micro-VMs (microVMs) that offer strong isolation with minimal overhead. Designed for serverless workloads (e.g., AWS Lambda, Fargate), it combines VM-level security with container-like performance and startup speed. -
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PgAgroal
High-performance connection pool for PostgreSQL
pgagroal is a high-performance PostgreSQL connection pooler written in C, designed for minimal latency and efficient resource usage. It provides features like secure authentication, hot reloading, and support for multiple databases, making it suitable for low-latency applications and microservice architectures. pgagroal is optimized for fast startup, low overhead, and easy integration. -
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Text Search Engine
A text search engine that supports mixed Chinese and English search
Text-Search-Engine is a JavaScript-based lightweight search engine that enables full-text search functionality. It allows developers to implement fast search indexing and retrieval in web applications. -
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Pycord
Pycord is a modern, easy to use, feature-rich, and async ready API
...The project supports Discord application APIs, slash commands, user commands, traditional commands, voice options, and performance-focused optional packages. It includes proper rate limit handling and is optimized for both speed and memory usage. Pycord supports current Python versions and offers documentation, guides, examples, and community resources for new bot developers. It is a strong fit for Python developers who want a maintained Discord framework with practical command support and approachable syntax. -
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Tracy Profiler
Frame profiler
A real-time, nanosecond resolution, remote telemetry, hybrid frame, and sampling profiler for games and other applications. Tracy supports profiling CPU (Direct support is provided for C, C++, Lua and Python integration. At the same time, third-party bindings to many other languages exist on the internet, such as Rust, Zig, C#, OCaml, Odin, etc.), GPU (All major graphic APIs: OpenGL, Vulkan, Direct3D 11/12, OpenCL.), memory allocations, locks, context switches, automatically attribute... -
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Bowtie 2
A fast and sensitive gapped read aligner
Bowtie 2 is a fast, memory-efficient genomic read aligner used to map sequencing reads against long reference sequences such as mammalian genomes. It is especially effective for reads ranging from around 50 bases to hundreds or thousands of characters, and it supports modern sequencing workflows that require gapped, local, and paired-end alignment. The tool builds compact FM-index-based reference indexes, keeping memory usage low even for large genomes like the human genome. ... -
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Redisson
Valkey & Redis Java client. Real-Time Data Platform
Redisson is a Java client library for Redis that offers distributed data structures, services, and frameworks to build scalable and reliable applications. It simplifies Redis usage by providing in-memory Java objects like maps, sets, locks, queues, and semaphores that are backed by Redis. Redisson supports advanced features like distributed locking, asynchronous APIs, and integrates with frameworks like Spring and Quarkus for reactive and cloud-native development. -
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Robusta KRR
Prometheus-based Kubernetes Resource Recommendations
Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus and recommends requests and limits for CPU and memory. This reduces costs and improves performance. -
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Xplorer
Xplorer, a customizable, modern file manager
Xplorer is a modern, cross-platform file manager built from the ground up to meet contemporary file-browsing needs across Windows, macOS, and Linux. Rather than relying on heavy, traditional desktop frameworks, Xplorer uses a hybrid architecture: a web-based frontend (TypeScript + SCSS/HTML) for UI, combined with a backend implemented in Rust to handle file operations, which keeps the application lightweight, memory-efficient, and faster to start. It supports multiple tabs, allowing users to... -
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Monitoring Plugins
A suite of Monitoring Plugins (formerly known as nagios-plugins)
Monitoring Plugins is a collection of open-source plugins designed to work with Nagios and other monitoring systems. These plugins perform various checks on hosts and services, providing administrators with essential information about system health and performance. The suite includes a wide range of plugins written in C, Perl, and other languages. -
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BigQuery Emulator
BigQuery emulator server implemented in Go
BigQuery Emulator is an open-source server implementation that replicates the behavior of Google Cloud’s BigQuery service locally, enabling developers to test and develop data workflows without connecting to the real cloud environment. Written in Go, it can run as a standalone binary, Docker container, or embedded library within test environments, making it highly flexible for different workflows. The emulator supports a large portion of the BigQuery API surface, including dataset... -
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llm.c
LLM training in simple, raw C/CUDA
llm.c is a minimalist, systems-level implementation of a small transformer-based language model in C that prioritizes clarity and educational value. By stripping away heavy frameworks, it exposes the core math and memory flows of embeddings, attention, and feed-forward layers. The code illustrates how to wire forward passes, losses, and simple training or inference loops with direct control over arrays and buffers. Its compact design makes it easy to trace execution, profile hotspots, and...
