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  • 1
    Funkin

    Funkin

    A rhythm game made with HaxeFlixel

    ...In the core game loop, players navigate a story across multiple weeks with unique songs and characters, and the engine handles input timing, score calculation, and animated feedback in sync with background music. Because it’s open source, the community has created an expansive ecosystem of mods, new songs, and custom charts that extend replayability far beyond the base content. The repository itself is designed to be approachable for new developers who want to learn game development or contribute to the project, with build scripts, asset pipelines, and documentation to help users compile the game locally.
    Downloads: 81 This Week
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  • 2
    peon-ping

    peon-ping

    Warcraft III Peon voice notifications (+ more!) for Claude Code

    ...Because it’s implemented as a simple shell tool, it’s lightweight, easy to set up, and runs alongside your existing tools without interfering with your core development setup. Users can customize which notifications they want and how frequently sounds play, turning mundane events into amusing auditory feedback.
    Downloads: 3 This Week
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  • 3
    E2B Code Interpreter

    E2B Code Interpreter

    Python & JS/TS SDK for running AI-generated code/code

    An interactive coding tool enabling real-time code interpretation for multiple languages.
    Downloads: 5 This Week
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  • 4
    Selenium IDE

    Selenium IDE

    Open Source record and playback test automation for the web

    ...Getting started with Selenium IDE requires no additional setup other than installing the extension on your browser. One of our driving philosophies is to provide an easy-to-use tool that will give instant feedback. We believe that the easier we can make it, the more likely people are to author tests, which in turn results in better-tested apps. Selenium IDE records multiple locators for each element it interacts with. If one locator fails during playback, the others will be tried until one is successful.
    Downloads: 61 This Week
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  • 5
    HY-Motion 1.0

    HY-Motion 1.0

    HY-Motion model for 3D character animation generation

    ...The training strategy for the HY-Motion series includes extensive pre-training on thousands of hours of varied motion data, fine-tuning on curated high-quality datasets, and reinforcement learning with human feedback, which improves both the plausibility and adaptability of generated motion sequences.
    Downloads: 2 This Week
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  • 6
    mgmt

    mgmt

    Next generation distributed, event-driven, parallel config management!

    Mgmt is a real-time automation tool. It is familiar to existing configuration management software but is drastically more powerful as it can allow you to build real-time, closed-loop feedback systems, in a very safe way, and with a surprisingly small amount of our mcl code. For example, the following code will ensure that your file server is set to read-only when it's Friday. It can run continuously, intermittently, or on demand, and in the first case, it will guarantee that your system is always in the desired state for that instant! ...
    Downloads: 2 This Week
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  • 7
    OpenUI5

    OpenUI5

    OpenUI5 lets you build enterprise-ready web applications

    ...UI5 apps and controls run on smartphones, tablets and desktop browsers. OpenUI5 is a JavaScript UI Framework released by SAP under the Apache 2.0 license. It's open for contributions and feedback! Explore key concepts of OpenUI5 in this minimalist web app using the MVC pattern and bootstrapping from our CDN. OpenUI5 is licensed under the Apache License, Version 2.0 - see LICENSE.txt. It also contains third-party open-source modules. Or use UI5 Tooling, the recommended tool for working with OpenUI5! It allows you to manage your framework dependencies and build optimized packages for all applications, components, and libraries.
    Downloads: 2 This Week
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  • 8
    Open Interface

    Open Interface

    Control Any Computer Using LLMs

    ...By sending user requests to an LLM backend, it determines the necessary steps and executes them by simulating keyboard and mouse inputs. The system can adjust its actions based on real-time feedback, providing a self-driving computer experience.
    Downloads: 0 This Week
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  • 9
    Oppia

    Oppia

    A free, online learning platform to make quality education accessible

    Oppia is an online learning tool that enables anyone to easily create and share interactive activities (called 'explorations'). These activities simulate a one-on-one conversation with a tutor, making it possible for students to learn by doing while getting feedback. Oppia identifies common wrong answers and provides tailored feedback, so that students get a personalized experience. Our lessons keep students engaged through playful characters and use different strategies to solidify their knowledge. Check out our math lessons with proven results! In addition to developing the Oppia platform, the team is also developing and piloting a set of free and effective lessons on basic mathematics. ...
    Downloads: 0 This Week
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  • 10
    MathCode

    MathCode

    A Frontier Mathematical Coding Agent

    ...It is designed to transform plain-language mathematical reasoning into verified Lean 4 code and formal proofs. The project combines AI agents with Lean Language Server Protocol integration, allowing it to inspect compiler feedback, search for lemmas, and iteratively repair failed proof attempts. It supports an agentic proving workflow where the system behaves more like an interactive mathematical engineer than a one-shot text generator. MathCode also includes visualization-oriented tooling such as theorem graph generation for Obsidian knowledge workflows. ...
    Downloads: 0 This Week
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  • 11
    NFH Self-Improvement Loop

    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. It can be applied to areas such as content generation, decision-making, and personal productivity systems. ...
    Downloads: 0 This Week
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  • 12
    clawchief

    clawchief

    Turn your OpenClaw into a Chief of Staff

    ...This approach allows for more predictable and organized multi-agent behavior compared to decentralized systems. The architecture likely includes task planning, delegation logic, and feedback loops that enable iterative refinement of outputs. It is particularly useful in scenarios where multiple agents must collaborate on interdependent tasks, such as coding, research, or automation pipelines. The system may also include monitoring tools to track agent performance and identify failures or inefficiencies.
    Downloads: 0 This Week
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  • 13
    colleague-skill

    colleague-skill

    Transform a cold separation into a warm Skill

    ...The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely integrates with broader agent frameworks, enabling seamless inclusion in multi-agent environments. It emphasizes communication and coordination, ensuring that agents can contribute meaningfully to shared objectives. This makes it particularly useful for complex projects where multiple perspectives or iterative refinement are needed.
    Downloads: 0 This Week
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  • 14
    MetaClaw

    MetaClaw

    Just talk to your agent

    MetaClaw is an AI or agent-oriented system that appears to focus on advanced control, coordination, or training of autonomous agents, potentially within reinforcement learning or tool-using environments. The project likely emphasizes meta-level reasoning, where agents are not only executing tasks but also adapting their strategies based on feedback and performance signals. It may incorporate mechanisms for learning from interactions, improving decision-making over time, and generalizing across different domains. The architecture suggests scalability, allowing the system to handle multiple agents or complex workflows simultaneously. It is likely designed for experimentation with next-generation agent systems that combine planning, learning, and execution. ...
    Downloads: 0 This Week
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  • 15
    Toaster Frame

    Toaster Frame

    Android toast frame, dedicated to treating various difficult problems

    ...The library is designed for easy integration, allowing developers to replace default toast usage with minimal code changes. It also supports styling and positioning improvements that make transient user feedback more predictable. In practice, Toaster is useful for Android teams that want consistent UI feedback without building a custom notification system from scratch.
    Downloads: 0 This Week
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  • 16
    Pro Workflow

    Pro Workflow

    Claude Code learns from your corrections: self-correcting memory

    Pro Workflow is a productivity framework for Claude Code that introduces self-improving workflows through memory, context engineering, and structured agent orchestration. The system learns from user corrections over time, storing feedback and refining its behavior across sessions to improve accuracy and efficiency. It supports advanced development setups such as parallel worktrees, enabling multiple tasks to be handled simultaneously without interference. The framework includes a collection of prebuilt skills and workflows that have been tested in real-world scenarios, providing a strong starting point for developers. ...
    Downloads: 1 This Week
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  • 17
    AutoCoder

    AutoCoder

    A long-running autonomous coding agent powered by the Claude Agent

    ...Rather than hand-writing boilerplate or repetitive patterns, users supply a specification—such as a description of a feature, a function prototype, or a module outline—and Autocoder fills in complete implementations that compile and run. It is built to support iterative refinement: after generating an initial draft, you can provide feedback or corrections, and the system will adjust the output to match evolving intentions. The core idea is to accelerate software production while preserving correctness and readability, minimizing the cognitive overhead that comes from switching between concept and implementation. Its architecture typically integrates language models with static analysis and template logic so that generated code is not only syntactically valid but also idiomatic and testable.
    Downloads: 1 This Week
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  • 18
    engineering-management

    engineering-management

    A collection of inspiring resources related to engineering management

    ...Rather than being a generic management reading list, it collects content that speaks directly to leading software teams, managing projects, and supporting engineers’ growth. The materials span topics like one-on-ones, feedback, hiring, performance reviews, culture, strategy, and remote work. The maintainer highlights articles that are short, concrete, and packed with actionable ideas, making it easier for busy managers to learn without wading through entire books first. Many entries come from experienced leaders sharing hard-won lessons, so the list doubles as a mentorship proxy for new managers. ...
    Downloads: 1 This Week
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  • 19
    Lunary

    Lunary

    The production toolkit for LLMs. Observability, prompt management

    Lunary helps developers of LLM Chatbots develop and improve them.
    Downloads: 1 This Week
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  • 20
    SIA

    SIA

    AI framework to autonomously improve the performance of any AI system

    SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code optimization, and scientific workflows. It includes built-in tasks, a command-line runner, and a visual dashboard for following generations as they evolve. ...
    Downloads: 0 This Week
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  • 21
    Context Hub

    Context Hub

    Makes coding agents get smarter with every task

    ...The project includes a CLI called chub that agents can use to search for available docs, fetch specific API guidance, and request only the files they need. It also supports local annotations, allowing an agent to remember project-specific notes, pitfalls, or workarounds across future sessions. Feedback can be sent back to maintainers so shared documentation improves over time. 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.
    Downloads: 0 This Week
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  • 22
    Ruff Visual Studio Code

    Ruff Visual Studio Code

    A Visual Studio Code extension with support for the Ruff linter

    Ruff Visual Studio Code is an official Visual Studio Code extension that integrates the Ruff Python linter and formatter directly into the development environment, enabling developers to maintain high code quality with minimal configuration. It provides real-time linting and formatting feedback as developers write code, helping catch errors, enforce style guidelines, and automatically fix issues where possible. The extension is built on top of Ruff’s high-performance Rust-based engine, which is significantly faster than traditional Python linting tools, allowing near-instant feedback even on large codebases. It supports both linting and formatting workflows, consolidating the functionality of multiple tools such as Flake8, Black, and isort into a single unified interface.
    Downloads: 0 This Week
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  • 23
    AI Researcher

    AI Researcher

    An autonomous AI researcher

    ...The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time.
    Downloads: 0 This Week
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  • 24
    claude-reflect

    claude-reflect

    A self-learning system for Claude Code that captures corrections

    claude-reflect is a self-learning enhancement system for Claude Code that captures user corrections, positive feedback, and preferences during interactive coding sessions and turns them into persistent knowledge that improves future responses. It watches what you correct Claude about — such as preferring a particular model, style, or workflow — and automatically queues those learnings, then lets you review and sync them back into configuration files like CLAUDE.md and agent definitions so Claude remembers them across sessions. ...
    Downloads: 0 This Week
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  • 25
    Tilt

    Tilt

    Define dev environment as code for microservice apps on Kubernetes

    ...See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an expert. And if you are an expert, no more 20 questions with kubectl. Tilt responsively handles the tedious and repetitive parts of your workflow and gives you peripheral vision so you find errors faster. Recapture the magic of hacking with immediate feedback.
    Downloads: 0 This Week
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