Showing 1791 open source projects for "no code"

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  • 1
    OpenHands

    OpenHands

    Open-source autonomous AI software engineer

    ...Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles We believe agentic technology is too important to be controlled by a few corporations. So we're building all our agents in the open on GitHub, under the MIT license. Our agents can do anything a human developer can: they write code, run commands, and use the web. We're partnering with AI safety experts like Invariant Labs to balance innovation with security.
    Downloads: 56 This Week
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  • 2
    Unsloth Studio

    Unsloth Studio

    Unified web UI for training and running open models locally

    ...The platform supports fine-tuning, pretraining, and reinforcement learning workflows, making it suitable for both experimentation and production use. Users can interact with models through chat, upload files like PDFs or images, and execute code within the environment to improve outputs. By combining powerful optimization techniques with an intuitive UI, Unsloth Studio simplifies the process of building and customizing AI models locally.
    Downloads: 19 This Week
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  • 3
    claude-real-video

    claude-real-video

    Let Claude (or any LLM) actually watch a video

    ...It can transcribe audio, generate a clean output folder, and create a local viewer with the video, keyframe grid, and transcript. The tool can also be installed as a Claude Code skill so an agent can process videos more directly. It is useful for reviewing screen recordings, summarizing visual content, analyzing tutorials, and turning video into LLM-readable context.
    Downloads: 10 This Week
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  • 4
    Claude Context

    Claude Context

    Code search MCP for Claude Code

    Claude Context is a tool designed to enhance the contextual understanding of large language models by managing and injecting relevant information into prompts. It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where...
    Downloads: 10 This Week
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  • 5
    AlphaGenome

    AlphaGenome

    Programmatic access to the AlphaGenome model

    The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. ...
    Downloads: 10 This Week
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  • 6
    Rust Docs MCP Server

    Rust Docs MCP Server

    Prevents outdated Rust code suggestions from AI assistants

    The Rust Docs MCP Server fetches documentation for specified Rust crates, generates embeddings for the content, and provides an MCP tool to answer questions about the crate based on the documentation context. ​
    Downloads: 1 This Week
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  • 7
    opencode.nvim

    opencode.nvim

    Integrate the opencode AI assistant with Neovim

    ...The plugin supports a prompt library system, allowing developers to reuse predefined prompts or create custom ones tailored to their workflows. It also enables direct execution of AI-driven actions, such as code modifications or command execution, while giving users full control to review, accept, or reject changes through diff-based interfaces. The system integrates with an in-process Language Server Protocol implementation, enabling familiar features like hover explanations and code actions powered by AI.
    Downloads: 4 This Week
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  • 8
    opcode

    opcode

    A powerful GUI app and Toolkit for Claude Code

    opcode is an open source desktop application and toolkit designed to enhance the developer experience when working with Claude Code by providing a graphical interface and advanced workflow management tools. The project acts as a command center for AI-assisted programming, bridging the gap between command-line workflows and modern visual development environments. Built using the Tauri framework, Opcode enables developers to manage multiple Claude sessions, create custom agents, and track usage in a centralized interface. ...
    Downloads: 4 This Week
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  • 9
    DeepLabCut

    DeepLabCut

    Implementation of DeepLabCut

    ...Please see the original paper and the latest work below! This package is collaboratively developed by the Mathis Group & Mathis Lab at EPFL (releases prior to 2.1.9 were developed at Harvard University). The code is freely available and easy to install in a few clicks with Anaconda (and pypi). DeepLabCut is an open-source Python package for animal pose estimation.
    Downloads: 15 This Week
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  • 10
    AnythingLLM

    AnythingLLM

    The all-in-one Desktop & Docker AI application with full RAG and AI

    A full-stack application that enables you to turn any document, resource, or piece of content into a context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions. AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open-source LLMs and vectorDB solutions to build a private ChatGPT with no...
    Downloads: 109 This Week
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  • 11
    Mantic.sh

    Mantic.sh

    A structural code search engine for Al agents

    ...It uses local embeddings and code graph awareness so that queries like “authentication flow” return not just superficially matching text but contextually related code across multiple repositories. The tool supports navigational commands such as go-to-definition and find-references, simplifying large-scale refactoring, comprehension, and exploration tasks for teams.
    Downloads: 0 This Week
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  • 12
    IQuest-Coder-V1 Model Family

    IQuest-Coder-V1 Model Family

    New family of code large language models (LLMs)

    IQuest-Coder-V1 is a cutting-edge family of open-source large language models specifically engineered for code generation, deep code understanding, and autonomous software engineering tasks. These models range from tens of billions to smaller footprints and are trained on a novel code-flow multi-stage paradigm that captures how real software evolves over time — not just static code snapshots — giving them a deeper semantic understanding of programming logic. ...
    Downloads: 0 This Week
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  • 13
    Appsmith

    Appsmith

    Low code project to build admin panels, internal tools, and dashboards

    Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API. Appsmith is an open-source platform to build, deploy, and maintain internal apps. You can build anything from simple CRUD apps, admin panels, dashboards to custom business apps and complicated multi-step workflows. Build your UI with our drag and drop UI builder.
    Downloads: 7 This Week
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  • 14
    AxonHub

    AxonHub

    Use any SDK to call 100+ LLMs

    ...The system acts as a compatibility layer that allows developers to use the same SDK interface while routing requests to various AI services behind the scenes. Instead of rewriting code when switching providers such as OpenAI or Anthropic, developers can simply change configuration settings within the gateway. AxonHub translates requests from one provider’s API format into another, enabling seamless interoperability across different AI platforms. The system also provides infrastructure features such as request routing, failover mechanisms, load balancing, and cost management for AI applications. ...
    Downloads: 14 This Week
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  • 15
    NextChat

    NextChat

    Light and Fast AI Assistant

    NextChat is a browser extension that injects a floating ChatGPT-style chat sidebar into webpages, enabling instant AI assistance during web browsing. It supports context-aware chatting using page content, quick queries, and code assistance without opening a new tab. Developers appreciate its customization options—like hotkeys, themes, and engine selection—while everyday users enjoy handy tools for writing, summarizing, or brainstorming on the fly.
    Downloads: 40 This Week
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  • 16
    avante.nvim

    avante.nvim

    Use your Neovim like using Cursor AI IDE!

    avante.nvim is a Neovim plugin designed to emulate the behaviour of the Cursor AI IDE. It provides users with AI-driven code suggestions and the ability to apply these recommendations directly to their source files with minimal effort.
    Downloads: 1 This Week
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  • 17
    nanobot

    nanobot

    🐈 nanobot: The Ultra-Lightweight Clawdbot / OpenClaw

    nanobot is an ultra-lightweight personal AI assistant designed to deliver powerful agent capabilities without unnecessary complexity. Built in just ~4,000 lines of clean, readable code, it offers a minimalist alternative to heavyweight agent frameworks while retaining core intelligence and extensibility. nanobot is optimized for speed and efficiency, enabling fast startup times and low resource usage across environments. Its research-ready architecture makes it easy for developers to understand, customize, and extend for experimentation or production use. ...
    Downloads: 16 This Week
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  • 18
    dlib

    dlib

    Toolkit for making machine learning and data analysis applications

    ...It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is about 1 to 4. The library is tested regularly on MS Windows, Linux, and Mac OS X systems. No other packages are required to use the library, only APIs that are provided by an out of the box OS are needed. There is no installation or configure step needed before you can use the library. All operating system specific code is isolated inside the OS abstraction layers which are kept as small as possible.
    Downloads: 9 This Week
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  • 19
    Wan2.1

    Wan2.1

    Wan2.1: Open and Advanced Large-Scale Video Generative Model

    Wan2.1 is a foundational open-source large-scale video generative model developed by the Wan team, providing high-quality video generation from text and images. It employs advanced diffusion-based architectures to produce coherent, temporally consistent videos with realistic motion and visual fidelity. Wan2.1 focuses on efficient video synthesis while maintaining rich semantic and aesthetic detail, enabling applications in content creation, entertainment, and research. The model supports...
    Downloads: 87 This Week
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  • 20
    Koila

    Koila

    Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code

    ...This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. The system acts as a thin wrapper around PyTorch tensors and operations, meaning that it integrates easily into existing PyTorch code without requiring major changes to model implementations. It is particularly useful in environments where GPU resources are limited or where models frequently encounter CUDA memory errors.
    Downloads: 5 This Week
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  • 21
    Fairlearn

    Fairlearn

    A Python package to assess and improve fairness of ML models

    Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as metrics for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage. An AI system can behave unfairly for a variety of reasons. In Fairlearn, we define whether an AI system is behaving unfairly in terms of its impact on people – i.e., in terms of harm. Fairness of AI systems is about more than simply running lines of code. ...
    Downloads: 8 This Week
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  • 22
    Open Vibe

    Open Vibe

    Open Vibe turns Claude Code into a SaaS-building assistant

    Open Vibe is an open-source course and agent workflow that turns Claude Code, Codex, Copilot, Open Code, or another terminal-capable AI coding agent into a SaaS-building assistant. It is built around Open SaaS, a free Wasp-powered SaaS boilerplate, so learners can create a real app while understanding the architecture behind production-ready SaaS systems. The workflow starts with setup instructions that install Node.js, install the Wasp CLI, and verify the local environment. ...
    Downloads: 4 This Week
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  • 23
    9Router

    9Router

    Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline

    9Router is an AI routing and proxy platform designed to unify access to dozens of AI providers and coding assistants through a single local endpoint. The project allows developers to connect tools such as Claude Code, Cursor, Codex, Cline, Copilot, Gemini CLI, and other AI coding environments to multiple commercial, free, and fallback model providers without manually switching APIs. It includes smart routing logic that can automatically redirect requests between premium, low-cost, or free providers based on quotas, availability, or configuration rules. ...
    Downloads: 10 This Week
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  • 24
    Learn PyTorch for Deep Learning

    Learn PyTorch for Deep Learning

    Materials for the Learn PyTorch for Deep Learning

    Learn PyTorch for Deep Learning is an open-source educational repository that provides the full learning materials for the “Learn PyTorch for Deep Learning: Zero to Mastery” course created by Daniel Bourke. The project is designed to teach beginners how to build deep learning models using PyTorch through a hands-on, code-first learning approach. Instead of focusing heavily on theory alone, the repository encourages learners to experiment with code and develop practical machine learning skills through guided examples and exercises. The materials include Jupyter notebooks, explanations of core deep learning concepts, and step-by-step demonstrations of building and training neural networks. ...
    Downloads: 4 This Week
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  • 25
    Swift Concurrency Agent Skill

    Swift Concurrency Agent Skill

    Add expert Swift Concurrency guidance to your AI coding tool

    Swift Concurrency Agent Skill is an open-source “agent skill” designed to give AI coding assistants deep expertise in Apple’s Swift Concurrency model, including async/await, structured concurrency, task groups, actors, and thread safety. It is formatted according to the Agent Skills specification so that tools like Claude Code, Cursor, Copilot, and other LLM-powered systems can load it and apply guidance when relevant. The skill codifies practical best practices for writing efficient, safe, and modern concurrent Swift code and outlines how to modernize existing legacy code toward Swift 6 conventions. Rather than teaching basic Swift, it targets the nuanced behaviors of concurrency primitives, actor isolation, and safety annotations like @MainActor and Sendable. ...
    Downloads: 2 This Week
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