Showing 12 open source projects for "feedback"

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  • 1
    ReelMimic

    ReelMimic

    Show it a video you love. Get a new video in the same style

    ...It then creates a production plan containing storyboards, character designs, assets, and style references for approval. Multiple AI agents collaborate to generate individual shots and review completed work. Users can monitor production, inspect revisions, and leave timestamped feedback directly on the video. ReelMimic runs locally with Claude Code or Codex and supports several 2D animation styles, including watercolor, pixel art, and motion graphics.
    Downloads: 3 This Week
    Last Update:
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  • 2
    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
    Last Update:
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  • 3
    OpenWhip

    OpenWhip

    Optimize interaction with AI coding assistants

    OpenWhip is a desktop utility built as a cross-platform Node.js application that humorously gamifies interaction with AI coding assistants by simulating a “whip” tool to interrupt and motivate them during long or stalled operations. The application runs as a lightweight system tray program and overlays a visual whip animation on the screen when activated, creating an interactive and slightly absurd interface for user engagement. Its core functionality is surprisingly practical beneath the...
    Downloads: 13 This Week
    Last Update:
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  • 4
    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: 0 This Week
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 5
    civitai

    civitai

    Open platform for sharing and discovering Stable Diffusion models

    ...Civitai encourages collaboration by allowing users to publish their models, explore models created by others, and learn from the techniques used in the community. It also supports user accounts, model browsing, and interaction features that help creators showcase their work and receive feedback from other users. Developers can deploy the project to run their own instance of the platform and integrate with its available API to retrieve models.
    Downloads: 8 This Week
    Last Update:
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  • 6
    Godot MCP

    Godot MCP

    MCP server for interfacing with Godot game engine

    ...It acts as a bridge between AI systems and the Godot editor, providing capabilities such as launching projects, running games in debug mode, and capturing runtime output for analysis. The tool is particularly valuable for AI-assisted game development, as it creates a feedback loop where agents can execute code, observe results, and iteratively improve their outputs. It also includes advanced features for manipulating scenes, managing assets, and editing project structures, making it possible to automate large portions of the development process. By exposing Godot functionality through a standardized MCP interface, it ensures compatibility with various AI clients such as Claude Code or Cursor.
    Downloads: 5 This Week
    Last Update:
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  • 7
    Huashu Design

    Huashu Design

    Huashu Design · HTML-native design skill for Claude Code

    ...The system is designed to be adaptable, allowing users to customize scripts for different domains or audiences. It also encourages iterative refinement, enabling continuous improvement of conversational strategies based on feedback and performance. The framework can be applied to both human-driven and AI-driven interactions, making it versatile across use cases. Overall, huashu-design offers a systematic approach to crafting and managing effective communication patterns.
    Downloads: 1 This Week
    Last Update:
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  • 8
    Ant Design X

    Ant Design X

    Experimental Ant Design extensions for advanced UI patterns

    ...It often includes higher-level abstractions and enhanced UI capabilities that are not yet part of the stable design system. It reflects ongoing innovation, with features that may evolve rapidly based on feedback and real-world usage. Overall, it is intended for developers who want to push the boundaries of Ant Design and explore cutting-edge UI solutions.
    Downloads: 0 This Week
    Last Update:
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  • 9
    LIDA

    LIDA

    Automatic Generation of Visualizations and Infographics using LLMs

    ...The platform can generate visualization code compatible with a wide range of libraries, allowing it to integrate with common data science ecosystems. It also supports iterative workflows where visualizations can be edited, explained, evaluated, and repaired through AI-driven feedback loops. The system is model-agnostic and can connect to multiple language model providers, enabling flexibility across different AI infrastructures.
    Downloads: 2 This Week
    Last Update:
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  • 10
    SuperAGI

    SuperAGI

    A dev-first open source autonomous AI agent framework

    ...Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. ...
    Downloads: 0 This Week
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  • 11
    Teachable Machine

    Teachable Machine

    Explore how machine learning works, live in the browser

    ...The project is built using web technologies and the TensorFlow.js ecosystem, enabling machine learning models to run locally within the browser environment. Because the training occurs locally, the system can respond quickly to new examples and provide immediate feedback to users.
    Downloads: 15 This Week
    Last Update:
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  • 12
    NASH OS

    NASH OS

    Nash Operating System for Modern Ecommerce

    The all-built-in-one, automatic, ready-to-go out-of-box, easy-to-use state-of-the-art, and really awesome NASH OS! Over 25,000+ flexible features and controls and all scalable!! The most powerful solution ever built to instantly deliver new heights of online ecommerce enterprise to you.
    Downloads: 3 This Week
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