Showing 7 open source projects for "self-extracing"

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    memos

    memos

    An open-source, self-hosted memo hub with knowledge management

    A lightweight, self-hosted memo hub. Open Source and Free forever. memos provides the privacy security and reliability that innovators need in their moments of inspiration. Keep your own data by yourself. All data generated at runtime is saved in the SQLite database file. All content will be saved as plain text, not HTML. And lots of useful markdown syntaxes are supported.
    Downloads: 3 This Week
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  • 2
    Open Notebook

    Open Notebook

    An Open Source implementation of Notebook LM with more flexibility

    Open Notebook is an open-source, privacy-focused alternative to Google’s Notebook LM that gives users full control over their research and AI workflows. Designed to be self-hosted, it ensures complete data sovereignty by keeping your content local or within your own infrastructure. The platform supports 16+ AI providers—including OpenAI, Anthropic, Ollama, Google, and LM Studio—allowing flexible model choice and cost optimization. Open Notebook enables users to organize and analyze multi-modal content such as PDFs, videos, audio files, web pages, and Office documents. ...
    Downloads: 23 This Week
    Last Update:
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  • 3
    Poznote

    Poznote

    Poznote is a personal note-taking and documentation platform

    Poznote is an open-source, self-hosted note-taking and personal knowledge management platform that combines modern editing features with robust organizational tools to help users capture, structure, and retrieve information efficiently. It supports rich text and Markdown editing alongside outline-style notes, attachments, workspaces, folders, and tags, making it suitable for everything from quick daily journaling to long-term documentation projects.
    Downloads: 2 This Week
    Last Update:
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  • 4
    Super comprehensive deep learning notes

    Super comprehensive deep learning notes

    Super Comprehensive Deep Learning Notes

    ...It’s not just a dry code repository; it includes theoretical explanations alongside hands-on examples, loss function explorations, optimization routines, and full end-to-end experiments on real datasets, making it highly suitable for both self-study and classroom use.
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    nb

    nb

    CLI and local web plain text note‑taking, bookmarking, and archiving

    nb is a powerful, flexible, and self-contained note-taking and knowledge management application that empowers users to write, organize, search, and archive plain-text notes, bookmarks, and tasks from the command line or through a local web server. Designed to be portable and vendor-independent, it stores all content as plain text files with optional encryption, which means notes can be versioned, diffed, and synced with Git just like code, giving users fine-grained control over their personal information. ...
    Downloads: 0 This Week
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  • 6
    BatNoter

    BatNoter

    An open source, markdown-based, self-hosted note taking webapp.

    BatNoter is a web application that allows users to store notes in their git repository. This is a frontend project built using mainly react (typescript), redux-toolkit & mui components. BatNoter API is the backend implementation of REST APIs which are used by this react app. Login with GitHub. Create, edit, delete, organize & explore notes easily with a nice & clean user interface. Markdown format supported allowing users to add hyperlink, table, headings, code blocks, blockquote... etc...
    Downloads: 0 This Week
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  • 7
    Piggydb

    Piggydb

    Piggydb helps you have more fun with knowledge creation.

    ...You can begin with using it as a flexible outliner, diary or notebook, and as your database grows, Piggydb helps you to shape or elaborate your own knowledge. Piggydb is a Web application provided as a self-contained package that contains a Web server and database engine. With Piggydb, you can create highly structured content by connecting knowledge fragments to each other to build a network structure, which is more flexible and expressive than a tree structure. Fragments can also be classified using hierarchical tags.
    Downloads: 2 This Week
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