Showing 5336 open source projects for "linux system"

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  • 1
    Spark TTS

    Spark TTS

    Spark-TTS Inference Code

    Spark TTS is an open-source, PyTorch-based text-to-speech inference system that leverages large language models to produce highly natural, intelligible speech from text input. It uses an efficient single-stream architecture where speech tokens are directly reconstructed from the predictions of an LLM, removing the need for external acoustic models or complex vocoders and making the generation pipeline cleaner and faster. The project supports zero-shot voice cloning, meaning it can imitate a...
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  • 2
    AnyTool

    AnyTool

    AnyTool: Universal Tool-Use Layer for AI Agents

    AnyTool is an open-source universal tool-use layer for AI agents that addresses the critical problem of how autonomous agents reliably interact with external tools and environments. Rather than having each agent handle tool invocation logic on its own, AnyTool provides a standardized interface and orchestrator that intelligently selects and manages tools, reduces context overhead, and improves execution reliability across diverse capabilities like web APIs, local commands, and GUI...
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  • 3
    StoryMem

    StoryMem

    Official code for StoryMem: Multi-shot Long Video Storytelling

    StoryMem is a narrative-focused memory accumulation system that lets users build, store, and reference past conversational context or story elements with an AI, effectively enabling the AI to maintain and recall personalized story memories or character arcs over time. Instead of treating each interaction as stateless, it tracks user-defined memory nodes, tags, and story threads so that future interactions can draw on established narrative context like character traits, past events, or...
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  • 4
    SkillForge

    SkillForge

    Ultimate meta-skill for generating best-in-class Claude Code skills

    SkillForge is a systematic methodology and tooling framework for creating high-quality AI “skills” specifically optimized for Claude Code integrations, treating skill creation as an engineering discipline rather than an ad-hoc art form. It introduces a multi-phase architecture where every input or request is triaged intelligently, analyzed deeply through structured lenses, specified formally, synthesized with automated generation, and finally subjected to multi-agent review before...
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  • 5
    video2robot

    video2robot

    End-to-end pipeline converting generative videos

    video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints...
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  • 6
    Claude Cognitive

    Claude Cognitive

    Persistent context and multi-instance coordination

    Claude Cognitive is an advanced memory and context-management extension designed to address the stateless limitations of Claude Code by giving the model a form of persistent “working memory” and multi-instance coordination. It introduces an attention-based context router that prioritizes files and content relevant to the current development discussion — tagging them as HOT, WARM, or COLD based on recency and keyword activation — so Claude Code doesn’t waste token budget rereading irrelevant...
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  • 7
    Motor

    Motor

    The async Python driver for MongoDB and Tornado or asyncio

    Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can...
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  • 8
    Watermark Anything

    Watermark Anything

    Official implementation of Watermark Anything with Localized Messages

    Watermark Anything (WAM) is an advanced deep learning framework for embedding and detecting localized watermarks in digital images. Developed by Facebook Research, it provides a robust, flexible system that allows users to insert one or multiple watermarks within selected image regions while maintaining visual quality and recoverability. Unlike traditional watermarking methods that rely on uniform embedding, WAM supports spatially localized watermarks, enabling targeted protection of...
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  • 9
    HomeRobot

    HomeRobot

    Mobile manipulation research tools for roboticists

    HomeRobot is an open source robotics framework developed by Facebook Research (Meta AI) that provides a complete software stack for mobile manipulation in real-world and simulated environments. Designed for low-cost robots such as the Hello Robot Stretch, HomeRobot enables agents to perceive, navigate, and interact with their surroundings through vision and manipulation. The system focuses on Open Vocabulary Mobile Manipulation (OVMM) — a challenging task in which a robot must explore an...
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  • 10
    AgentForge

    AgentForge

    Extensible AGI Framework

    AgentForge is a framework for creating and deploying AI agents that can perform autonomous decision-making and task execution. It enables developers to define agent behaviors, train models, and integrate AI-powered automation into various applications.
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  • 11
    proxy.py

    proxy.py

    Utilize all available CPU cores for accepting new client connections

    proxy.py is made with performance in mind. By default, proxy.py will try to utilize all available CPU cores to it for accepting new client connections. This is achieved by starting AcceptorPool which listens on configured server port. Then, AcceptorPool starts Acceptor processes (--num-acceptors) to accept incoming client connections. Alongside, if --threadless is enabled, ThreadlessPool is setup which starts Threadless processes (--num-workers) to handle the incoming client connections....
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  • 12
    ChatGPT Discord Bot

    ChatGPT Discord Bot

    Integrate ChatGPT into your own discord bot

    Build your own Discord bot using ChatGPT. Using certain personas may generate vulgar or disturbing content. Use at your own risk. Public mode (default), the bot directly replies on the channel. The bot's reply can only be seen by the person who used the command. Invite your bot to your server via OAuth2 URL Generator. Email/Password authentication (Not supported for Google/Microsoft accounts). A system prompt would be invoked when the bot is first started or reset. You can set it up by...
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  • 13
    Amazon Braket Default Simulator

    Amazon Braket Default Simulator

    An implementation of a quantum simulator that you can run locally

    The Amazon Braket Default Simulator is a Python open-source library that provides an implementation of a quantum simulator that you can run locally. You can use the simulator to test quantum tasks that you construct for the Amazon Braket SDK before you submit them to the Amazon Braket service for execution. You must have the Amazon Braket SDK installed to use the local simulator. Follow the instructions in the README for setup. If you want to contribute to the project, be sure to run unit...
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  • 14
    Duino-Coin

    Duino-Coin

    A coin that can be mined with almost everything

    Duino-Coin is a coin that can be mined with almost everything, including Arduino boards. Duino-Coin is a coin that can be mined with Arduinos, ESP8266/32 boards, Raspberry Pis, computers, and many more (including Wi-Fi routers, smart TVs, smartphones, smartwatches, SBCs, MCUs or even GPUs) The easiest way to get started with Duino-Coin is to download the latest release for your OS. After downloading the release, unzip it and launch the desired program. There are no dependencies required....
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  • 15
    pydantic

    pydantic

    Data parsing and validation using Python type hints

    Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; validate it with pydantic. id is of type int; the annotation-only declaration tells pydantic that this field is required. Strings, bytes or floats will be coerced to ints if possible; otherwise an exception will be raised. name is inferred as a string from the provided default; because it has a...
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  • 16

    Ubuntuzilla: Mozilla Software Installer

    APT repository for Mozilla software releases

    An APT repository hosting the Mozilla builds of the latest official releases of Firefox, Thunderbird, and Seamonkey. Do not manually download the files - read the wiki, https://sourceforge.net/p/ubuntuzilla/wiki/ for instructions on using the repository.
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    Downloads: 214,687 This Week
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  • 17
    MolmoWeb

    MolmoWeb

    Open multimodal web agent built by Ai2

    MolmoWeb is an open-source multimodal web agent designed to autonomously navigate and interact with web browsers using vision-language models, representing a significant step toward fully agentic AI systems that can operate in real-world digital environments. The system takes natural language instructions and translates them into sequences of browser actions such as clicking, typing, scrolling, and navigating, effectively performing tasks on behalf of the user. Unlike traditional automation...
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  • 18
    Paperless-AI

    Paperless-AI

    AI-powered document analysis and tagging for Paperless-ngx

    Paperless-AI is an AI-powered extension designed to enhance document management within Paperless-ngx by automating analysis, classification, and organization tasks. It continuously monitors incoming documents and processes them using various AI backends, enabling automatic assignment of titles, tags, document types, and correspondents. It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key...
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  • 19
    DreamerV3

    DreamerV3

    Mastering Diverse Domains through World Models

    DreamerV3 is an open-source implementation of a reinforcement learning algorithm that uses world models to train intelligent agents capable of learning complex behaviors across many environments. The system works by building an internal model of the environment and then using that model to simulate possible future outcomes of actions, allowing the agent to learn from imagined experiences rather than only from real interactions. This approach enables the algorithm to efficiently learn...
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  • 20
    Guardrails

    Guardrails

    Framework for validating and controlling LLM outputs in AI apps

    Guardrails is an open source Python framework designed to help developers build more reliable and controlled applications powered by large language models. It provides mechanisms for validating and constraining both the inputs sent to a model and the outputs generated by it, helping reduce risks such as harmful content, prompt injection, or inaccurate responses. Guardrails works by applying configurable guards that intercept and evaluate interactions with the model before results are...
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  • 21
    Code2Prompt

    Code2Prompt

    Convert codebases into structured prompts optimized for LLM analysis

    code2prompt is an open source command line tool designed to convert an entire codebase into a structured prompt that can be easily used with large language models. It analyzes a project directory, gathers relevant source files, and formats them into a single prompt that includes the source tree and code content. This approach helps developers quickly provide full project context to AI models without manually copying files or assembling prompts. code2prompt is built in Rust and focuses on...
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  • 22
    Agent Framework

    Agent Framework

    Framework for building, orchestrating, and deploying AI agents

    Microsoft Agent Framework is an open source framework designed to help developers build, orchestrate, and deploy AI agents and multi-agent systems. It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks....
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  • 23
    BasedHardware

    BasedHardware

    Open source AI wearable platform for recording and summarizing speech

    Omi is an open source AI wearable platform designed to capture spoken conversations and convert them into useful digital information such as transcripts, summaries, and action items. It combines hardware, firmware, mobile applications, and backend services to create a complete ecosystem for voice-driven interaction. Users can connect the wearable device to a mobile phone and automatically record and transcribe meetings, conversations, and voice memos. Omi includes firmware for wearable...
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  • 24
    AutoViz

    AutoViz

    Automatically Visualize any dataset, any size

    AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the...
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  • 25
    MuseGAN

    MuseGAN

    An AI for Music Generation

    MuseGAN is a deep learning research project designed to generate symbolic music using generative adversarial networks. The system focuses specifically on generating multi-track polyphonic music, meaning that it can simultaneously produce multiple instrument parts such as drums, bass, piano, guitar, and strings. Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track. This representation...
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