Search Results for "loop"
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Showing 716 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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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 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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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 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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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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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.
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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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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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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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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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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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OpenSquilla
Token-Efficient AI Agent with same budget, higher intelligence density
OpenSquilla is a token-efficient microkernel AI agent runtime designed for CLI, web UI, and chat-based workflows. It routes each turn through a shared loop that can select lower-cost models when appropriate while preserving tool dispatch, retries, memory, and decision logging. The project supports multiple LLM providers through a pluggable provider layer, making it adaptable to different model ecosystems. It includes persistent memory, built-in web search, on-device embeddings, and sandboxing for safer execution. ... -
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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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Finch.jl
Sparse tensors in Julia and more
Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code. -
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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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Codex Autoresearch
A codex plugin for running optimization loops inside a codebase
Codex Autoresearch is an autonomous software improvement framework that enables AI coding agents to iteratively enhance codebases without continuous human input. The system operates in a loop where the agent modifies code, evaluates results against measurable metrics, and either keeps or discards changes based on performance. It generalizes the concept of autoresearch beyond machine learning, allowing optimization of test coverage, latency, lint errors, and overall code quality. Developers define a goal and verification command, and the agent continuously runs experiments to reach the desired outcome. ... -
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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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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. ... -
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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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Future AGI
Open-source platform for evaluating, observing, and improving LLM
...It is built for teams that need more than basic tracing, combining evaluations, simulations, datasets, guardrails, gateway routing, and optimization in one feedback loop. The platform helps developers detect hallucinations, measure agent quality, monitor production behavior, and use evaluation results to improve prompts or workflows over time. It supports both cloud and self-hosted deployment models, making it useful for teams with different privacy, infrastructure, and compliance needs. Future AGI is especially relevant for agent-heavy products where reliability, regression testing, and safety checks matter before and after release. ... -
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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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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
NVIDIA Isaac Sim is a high-fidelity robotics simulation platform built on NVIDIA Omniverse to develop, test, and validate AI-driven robots in physically accurate virtual environments. It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors)....
