Showing 1972 open source projects for "knowledge"

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  • 1
    Microsoft Agent Skills

    Microsoft Agent Skills

    Skills, MCP servers, Custom Agents, Agents.md for SDKs

    Microsoft Agent Skills is an actively maintained repository of skills, custom agents, templates, and MCP configuration files designed to extend AI coding assistants with deep knowledge about Azure SDKs and Microsoft AI Foundry services. The project bundles over a hundred domain-specific skills that teach AI agents how to perform tasks like Azure resource provisioning, SDK usage patterns, infrastructure setup, and common DevOps workflows, bridging the gap between agent reasoning and real-world Microsoft platform needs. ...
    Downloads: 1 This Week
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  • 2
    Playground Cheatsheet for Python

    Playground Cheatsheet for Python

    Playground and cheatsheet for learning Python

    learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features,...
    Downloads: 1 This Week
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  • 3
    Awesome English Ebooks

    Awesome English Ebooks

    Curated list of freely available English-language magazine issues

    ...The repository organizes links by topic and technology so learners can quickly find foundational texts, deep dives, and practical handbooks relevant to their goals. Entries often include notes about edition, format, or prerequisite knowledge, helping readers gauge where a book fits in a learning path. Because it lives in Git, the list benefits from community maintenance: contributors add new titles, replace dead links, and refine categories as the ecosystem shifts. The intent is to lower the barrier to structured self-study by pointing to reputable, long-lived resources rather than ephemeral blog posts. ...
    Downloads: 1 This Week
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  • 4
    Koog

    Koog

    Koog is the official Kotlin framework for building AI agents

    ...Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.
    Downloads: 1 This Week
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    Plane

    Plane

    Open Source JIRA, Linear, Monday, and Asana Alternative

    Open-source project management that unlocks customer value. Meet Plane, is an open-source project management tool to track issues, run sprint cycles, and manage product roadmaps without the chaos of managing the tool itself. Quickly create issues and add details using a powerful rich text editor that supports file uploads. Add sub-properties and references to problems for better organization and tracking. Keep up your team's momentum with Cycles. Gain insights into your project's progress...
    Downloads: 1 This Week
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  • 6
    native-feel.skill

    native-feel.skill

    An Agent Skill for designing cross-platform desktop apps

    ...The project is useful when an agent is advising on desktop apps that need global shortcuts, system tray behavior, native windows, fast interaction, and polished platform conventions. Its main value is turning hard-won desktop architecture knowledge into reusable agent guidance.
    Downloads: 0 This Week
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  • 7
    Anything to NotebookLM

    Anything to NotebookLM

    Multi-source content processor for NotebookLM

    ...The tool can process files locally, extract or transcribe content when needed, and hand the cleaned material to NotebookLM for generation. It is best suited for researchers, students, content curators, and knowledge workers who regularly turn scattered information into organized learning assets.
    Downloads: 0 This Week
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  • 8
    Local Deep Research

    Local Deep Research

    95% on SimpleQA (e.g. Qwen3.6-27B on a 3090)

    ...The system breaks down complex queries into smaller steps, performs parallel searches across web and academic sources, and generates structured, citation-backed reports. It also supports personal document ingestion through vector search, enabling users to build a private, searchable knowledge base. The platform includes a web interface, Docker-based deployment, and flexible configuration options, making it accessible to both developers and researchers. Its architecture emphasizes transparency, customization, and reproducibility in AI-assisted research workflows.
    Downloads: 0 This Week
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  • 9
    AnalysisAVP

    AnalysisAVP

    Encode decode, rgb yuv h264 aac flv mp4 rtmp

    AnalysisAVP is a comprehensive educational repository focused on audio and video technology concepts, providing structured knowledge across multimedia systems and processing pipelines. It covers foundational topics such as encoding, decoding, color formats like RGB and YUV, and widely used codecs including H.264 and AAC. The project also explores media container formats like MP4 and FLV, along with streaming protocols such as RTMP and WebRTC, offering a broad understanding of media transmission. ...
    Downloads: 0 This Week
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  • 10
    Quip Node Manager

    Quip Node Manager

    A simple GUI client to manage a Quip Network node

    Quip Node Manager is a graphical interface tool designed to simplify the management and operation of nodes within the Quip Network ecosystem. It provides a user-friendly way to start, stop, monitor, and configure blockchain nodes without requiring deep command-line knowledge. The application is built in Rust and is intended to abstract the complexity of node lifecycle management, making decentralized infrastructure more accessible to developers and operators. It integrates with Quip protocol implementations, allowing users to interact with their nodes and observe network behavior in real time. The tool likely includes features for configuration management, logging, and system diagnostics to support stable operation. ...
    Downloads: 0 This Week
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  • 11
    Claude Autoresearch

    Claude Autoresearch

    Claude Autoresearch Skill, autonomous goal-directed iteration

    ...It may also include summarization and reporting capabilities to present findings in a digestible format. Overall, autoresearch represents a step toward self-directed knowledge discovery systems that continuously improve their outputs through iteration.
    Downloads: 0 This Week
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  • 12
    SwiftUI Agent Skill

    SwiftUI Agent Skill

    SwiftUI agent skill for Claude Code, Codex, and other AI tools

    SwiftUI-Agent-Skill is an advanced agent skill designed to enhance AI coding assistants by embedding expert-level knowledge of SwiftUI development practices into their workflows. It provides structured guidance that helps AI tools generate more accurate, modern, and maintainable SwiftUI code by addressing common mistakes such as misuse of APIs, poor performance patterns, and accessibility oversights. The system includes a comprehensive review process that evaluates code across multiple dimensions, including navigation, data flow, design compliance, and performance optimization. ...
    Downloads: 0 This Week
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  • 13
    gist(1)

    gist(1)

    Potentially the best command line gister

    ...The platform supports multiple programming languages and provides syntax highlighting for improved readability. Gists can also be embedded in websites or shared across teams, making them useful for documentation, debugging, and knowledge sharing. Because each gist is backed by a Git repository, users can track changes over time and collaborate efficiently.
    Downloads: 0 This Week
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  • 14
    autoMate

    autoMate

    AI tool for automating desktop tasks via natural language input

    autoMate is an AI-powered local automation tool designed to enable users to control and automate their computers using natural language instructions instead of traditional scripting or rule-based systems. It combines large language models with computer vision techniques to interpret user intent and understand on-screen content, allowing it to interact with graphical interfaces similarly to a human user. autoMate follows an observe-decide-act workflow, where it analyzes the screen, plans...
    Downloads: 0 This Week
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  • 15
    NVIDIA PhysicsNeMo

    NVIDIA PhysicsNeMo

    Open-source deep-learning framework for building and training

    NVIDIA PhysicsNeMo is an open-source deep learning framework designed for building artificial intelligence models that incorporate physical laws and scientific knowledge into machine learning workflows. The framework focuses on the emerging field of physics-informed machine learning, where neural networks are used alongside physical equations to model complex scientific systems. PhysicsNeMo provides modular Python components that allow developers to create scalable training and inference pipelines for models that combine data-driven learning with physics-based constraints. ...
    Downloads: 0 This Week
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  • 16
    AI_Tutorial

    AI_Tutorial

    A selection of learning materials, search, recommendation, advertising

    AI_Tutorial is a large curated repository that aggregates high-quality learning resources related to artificial intelligence, machine learning, deep learning, natural language processing, and data engineering. The project functions as a centralized knowledge base designed to help engineers and researchers discover tutorials, technical articles, algorithm explanations, and architecture discussions from across the AI ecosystem. Rather than focusing on a single framework or course, the repository collects materials from many sources such as open-source projects, technical blogs, research papers, and industry engineering posts. ...
    Downloads: 0 This Week
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  • 17
    DATA SCIENCE ROADMAP

    DATA SCIENCE ROADMAP

    Data Science Roadmap from A to Z

    DATA SCIENCE ROADMAP is an educational repository designed to guide learners through the process of becoming proficient in data science and machine learning. The project presents a structured roadmap that outlines the knowledge and skills required for different stages of a data science career. Topics typically include programming with Python, statistics, mathematics, machine learning algorithms, data visualization, and big data technologies. The roadmap also includes links to courses, tutorials, and external resources that help learners study each topic in more depth. ...
    Downloads: 0 This Week
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  • 18
    Machine Learning Foundations

    Machine Learning Foundations

    Machine Learning Foundations: Linear Algebra, Calculus, Statistics

    ...Each section introduces theoretical concepts and then illustrates them through practical coding examples to reinforce understanding. The project is designed for students and practitioners who want to strengthen their foundational knowledge before working with more advanced machine learning frameworks.
    Downloads: 0 This Week
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  • 19
    Kodezi Chronos

    Kodezi Chronos

    Kodezi Chronos is a debugging-first language model

    ...The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate large repositories and retrieve relevant debugging information from multiple sources. Another component, Persistent Debug Memory, allows the system to learn patterns from past debugging sessions and apply that knowledge to future problems. The repository mainly contains research documentation, evaluation benchmarks, and experimental frameworks rather than the full proprietary model implementation.
    Downloads: 0 This Week
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  • 20
    Machine Learning and Data Science Apps

    Machine Learning and Data Science Apps

    A curated list of applied machine learning and data science notebooks

    This repository is a large curated collection of machine learning and data science resources focused on real-world industry applications. Instead of being a single software framework, it acts as a knowledge base containing links to practical projects, notebooks, datasets, and libraries that demonstrate how machine learning can be applied across different sectors. The repository organizes resources by industry categories such as finance, healthcare, agriculture, manufacturing, government, and retail, allowing practitioners to explore domain-specific machine learning use cases. ...
    Downloads: 0 This Week
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  • 21
    Data Science Interviews

    Data Science Interviews

    Data science interview questions and answers

    Data Science Interviews is an open-source repository that collects common data science interview questions along with community-provided answers and explanations. The project serves as a preparation resource for students, job seekers, and professionals who want to review the technical knowledge required for data science roles. The repository organizes questions into different categories including theoretical machine learning concepts, technical programming questions, and probability or statistics problems. Many of the questions cover fundamental machine learning topics such as linear models, decision trees, neural networks, and evaluation metrics. ...
    Downloads: 0 This Week
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  • 22
    MiroThinker

    MiroThinker

    MiroThinker is an open source deep research agent

    ...Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that involve searching for information, analyzing evidence, and synthesizing conclusions. The platform is optimized for research tasks such as financial forecasting, knowledge discovery, and large-scale information synthesis. MiroThinker has been evaluated on several agent benchmarks and has demonstrated strong performance on tests designed to measure deep research capabilities.
    Downloads: 0 This Week
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  • 23
    RecAI

    RecAI

    Bridging LLM and Recommender System

    RecAI is an open-source research platform developed by Microsoft to explore how large language models can be integrated into modern recommender systems. Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent...
    Downloads: 0 This Week
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  • 24
    PeterCat

    PeterCat

    A conversational Q&A agent configuration system

    ...The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. The framework also provides a configuration system that allows developers to customize how the conversational agent behaves and how it integrates with external services. PeterCat can be deployed as a self-hosted solution and offers an application SDK that enables integration with websites, developer portals, and community support platforms.
    Downloads: 0 This Week
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  • 25
    AI Engineering Transition Path

    AI Engineering Transition Path

    Research papers and blogs to transition to AI Engineering

    ...The project organizes resources that cover fundamental topics required to understand modern AI systems, including transformers, vector embeddings, tokenization, infrastructure design, and mixture-of-experts architectures. Instead of presenting isolated tutorials, the repository provides a structured pathway that guides engineers through the technical knowledge needed to build and deploy large language model systems. The materials include curated research papers, blog posts, and code examples that explain both theoretical foundations and practical implementation strategies. By consolidating these resources into a single repository, the project helps developers navigate the rapidly expanding AI ecosystem without needing to search through scattered materials.
    Downloads: 0 This Week
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