Search Results for "loop"
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Showing 695 open source projects for "loop"
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Loop
Window management made elegant.
Loop is constantly evolving, with new features and improvements added regularly to enhance your window management experience on macOS. -
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Loop Library
A library of practical AI-agent loops and an installable skill
Loop Library is a library and installable skill for designing repeatable AI-agent workflows. It is built around the idea of loops, which are bounded playbooks that tell an agent what to do, how to check progress, what to try next, and when to stop. The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. -
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Loop Engineering
Practical patterns, starters & CLI tools for loop engineering with AI
...It explains core building blocks such as scheduling, worktrees, skills, plugins, connectors, sub-agents, and persistent memory or state. The repository includes production loop patterns, quickstarts, starters, checklists, safety notes, and real-world stories. It also provides CLI tools such as loop-audit, loop-init, and loop-cost to scaffold, evaluate, and estimate agent loop workflows. -
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Coze Loop
Next-generation AI Agent Optimization Platform
...Its observability layer captures detailed execution traces, enabling teams to understand how inputs, prompts, and tools interact during runtime. Designed as an extensible open-source framework, Coze Loop helps teams move beyond ad-hoc prompt experiments toward structured, production-ready AI agent operations. -
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Loop Habit Tracker
Mobile app for creating and maintaining long-term positive habits
Loop is a mobile app that helps you create and maintain good habits, allowing you to achieve your long-term goals. Detailed graphs and statistics show you how your habits improved over time. It is completely ad-free and open source. Beautiful, minimalistic and lightweight interface. Loop has an elegant and minimalistic interface that is very easy to use, even for first-time users. -
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ralph-loop-agent
Continuous Autonomy for the AI SDK
ralph-loop-agent is an experimental autonomous agent framework from Vercel Labs that brings continuous autonomy to the AI SDK, enabling AI solutions to perform long-running, iterative tasks without manual stop/start intervention. Rather than simply answering a single request and stopping, Ralph Loop implements a loop control architecture that allows an agent to repeatedly evaluate its progress, adjust its approach, and continue working toward a defined completion criteria until tasks are fully resolved. ... -
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NFH Self-Improvement Loop
Minimal adversarial framework for AI agent self-modification
NFH Self-Improvement Loop is a conceptual framework and implementation designed to model continuous self-improvement cycles using AI systems. It focuses on creating feedback loops where outputs are evaluated, refined, and reintroduced into the system for further improvement. The project emphasizes iterative learning, allowing systems to evolve over time through repeated evaluation and adjustment. -
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rtabmap
RTAB-Map library and standalone application
RTAB-Map (Real-Time Appearance-Based Mapping) is a RGB-D, Stereo and Lidar Graph-Based SLAM approach based on an incremental appearance-based loop closure detector. The loop closure detector uses a bag-of-words approach to determine how likely a new image comes from a previous location or a new location. When a loop closure hypothesis is accepted, a new constraint is added to the map’s graph, then a graph optimizer minimizes the errors in the map. A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization so that real-time constraints on large-scale environments are always respected. ... -
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uvloop
Ultra fast asyncio event loop
uvloop is an ultra-fast, drop-in replacement of the built-in asyncio event loop. Together with asyncio and the power of async/await in Python 3.5, uvloop makes it easier than ever to write high-performance Python networking code. uvloop makes asyncio incredibly fast-- 2 to 4 times faster than nodejs, or any other Python asynchronous framework. The performance of asyncio when it is uvloop-based is almost comparable to that of Go programs. -
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autoresearch-macos
AI agents running research on single-GPU nanochat training
autoresearch-macos is a macOS-focused adaptation of autonomous research loop systems inspired by the autoresearch paradigm, enabling AI agents to iteratively improve machine learning models through self-directed experimentation. The system follows a structured loop in which an agent modifies a training script, executes a fixed-duration experiment, evaluates performance metrics, and decides whether to keep or revert changes. -
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Fast and transparent file system and swap encryption package for linux. No source code changes to linux kernel. Works with 7.x, 6.x, 5.x, 4.x, 3.x, 2.6, 2.4, 2.2 and 2.0 kernels.
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bu-agent-sdk
An agent is just a for-loop
The bu-agent-sdk from the Browser Use project is a minimalistic Python framework that defines an AI agent as a simple loop of tool calls, aiming to keep abstractions low so developers can build autonomous agents without unnecessary complexity. At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic, decision-making, or domain-specific work. ... -
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RecursiveMAS
Offical Implementation for "Recursive Multi-Agent Systems"
...It also incorporates an inner–outer loop training approach that optimizes the entire system collectively rather than tuning each agent separately. This design improves efficiency, reduces token usage, and stabilizes learning during iterative reasoning. -
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OpenJarvis
Personal AI, On Personal Devices
...OpenJarvis integrates with local inference engines like Ollama, vLLM, SGLang, and llama.cpp to run language models directly on personal hardware. It also includes a learning loop that allows models to improve over time using locally generated interaction traces. By prioritizing local execution and efficiency, OpenJarvis aims to provide a foundation for privacy-preserving personal AI assistants. -
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autoresearch for AMD
AI agents running research on single-GPU nanochat training
...This loop allows the system to explore a wide range of architectural and hyperparameter configurations without human intervention. The framework emphasizes simplicity and reproducibility, ensuring that experiments are comparable and results are traceable over time. -
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libuv
Cross-platform asynchronous I/O
libuv is a high-performance, multi-platform C library focusing on asynchronous I/O, originally developed for Node.js. It provides a consistent event-loop and I/O abstraction layer across a range of systems, making non-blocking operations portable and efficient. Full-featured event loop backed by epoll, kqueue, IOCP, event ports. Asynchronous TCP and UDP sockets. Asynchronous DNS resolution. Asynchronous file and file system operations. File system events, ANSI escape code-controlled TTY. ... -
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nanoGPT
The simplest, fastest repository for training/finetuning models
...It distills the GPT architecture into a few hundred lines of Python code, making it far easier to understand than large, production-scale implementations. The repo is organized with a training pipeline (dataset preprocessing, model definition, optimizer, training loop) and inference script so you can train a small GPT on text datasets like Shakespeare or custom corpora. It emphasizes readability and clarity: the training loop is cleanly written, and the code avoids heavy abstractions, letting students follow the architecture step by step. While simple, it can still train non-trivial models on modern GPUs and generate coherent text. ... -
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Ralph
Autonomous AI agent loop that runs until all PRD items are complete
Ralph is an autonomous AI coding loop that repeatedly runs agentic development tools until every item in a product requirements document is complete. It is designed to work with Amp or Claude Code, launching a fresh AI instance on each iteration to avoid context overload. Instead of relying on one long conversation, Ralph keeps progress through git history, a structured prd.json file, and an append-only progress.txt memory file. -
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pi-autoresearch
Autonomous experiment loop extension for pi
pi-autoresearch is an automation-oriented research assistant project that focuses on orchestrating iterative information gathering, analysis, and synthesis workflows with minimal human intervention. It is designed to simulate a continuous research loop where queries are generated, refined, and expanded based on previous outputs, enabling deeper exploration of complex topics. The system likely integrates with external data sources or APIs to retrieve information and process it into structured insights. Its architecture suggests a focus on autonomy, allowing it to run multi-step research pipelines that mimic human investigative processes. ... -
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Slambook2
edition 2 of the slambook
...The repository teaches the mathematical and programming foundations required to understand visual SLAM implementations. Its C++ exercises cover geometry, Lie theory, cameras, image processing, optimization, visual odometry, mapping, and loop closure. Chapter folders let readers study individual techniques before connecting them into broader localization and mapping pipelines. Supplemental files include errata, exercise solutions, notes, figures, and small demonstrations of matrix and coordinate operations. It is intended for hands-on study and provides a clearer upgrade path than the original edition. -
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Giada
Your Hardcore Loop Machine.
Giada is an open-source, minimalistic and hardcore music production tool. Designed for DJs, live performers, and electronic musicians. Build your performance in real time by layering audio tracks or MIDI events, driven by the main sequencer. Load samples from your crates and play them with a computer keyboard or a MIDI controller. Write songs from scratch or edit existing live recordings with the powerful Action Editor, for fine-tuned control. Record sounds from the real world and MIDI... -
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fping
High performance ping tool
...Also, the official maintainer didn't answer emails, so I decided to just step up and take over maintenanceship.To mark this change of maintenance, and avoid confusion, I decided to call it version 3. Besides a new maintainer, fping now also features a completely rewritten main loop implementation which improves performance significantly. The run time is now close to the theoretical time required to send and receive the pings under the specified parameters. -
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Aseprite
Animated sprite editor & pixel art tool
Aseprite is a program to create animated sprites. Sprites are composed of layers & frames as separated concepts. Support for color profiles and different color modes: RGBA, Indexed (palettes up to 256 colors), Grayscale. Animation facilities, with real-time preview and onion skinning. Copy & paste. Drag & drop. Resize palette. Palette entries with alpha value. Select color harmonies. Create light and shadows with the shading ink. Create perfect strokes for pixel-art. Avoid extreme pixel... -
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Flame
A Flutter based game engine
...It takes advantage of the powerful infrastructure provided by Flutter but simplifies the code you need to build your projects. It provides you with a simple yet effective game loop implementation, and the necessary functionalities that you might need in a game. For instance; input, images, sprites, sprite sheets, animations, collision detection, and a component system that we call Flame Component System (FCS for short). You can pick and choose whichever parts you want, as they are all independent and modular. ... -
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Ralph for Claude Code
Autonomous development loop that iteratively improves projects
Ralph for Claude Code is an autonomous AI development loop framework designed to continuously iterate on a software project until predefined goals are achieved. It implements a technique that enables Claude Code to repeatedly analyze, modify, and improve a codebase through structured development cycles. It automates the process of running AI-assisted development tasks, allowing the model to progressively refine a project without constant manual intervention.