karakeep
A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search
Stars: 19930
Karakeep is a self-hostable bookmark-everything app with a touch of AI for data hoarders. It allows users to bookmark links, take notes, store images and pdfs, and offers features like automatic fetching, full-text search, AI-based tagging, OCR, rule-based engine, Chrome plugin, Firefox addon, iOS and Android apps, auto hoarding from RSS feeds, REST API, multi-language support, and more. The app is under heavy development and aims to provide a self-hosting first solution for managing bookmarks and content.
README:
Karakeep (previously Hoarder) is a self-hostable bookmark-everything app with a touch of AI for the data hoarders out there.
- ๐ Bookmark links, take simple notes and store images and pdfs.
- โฌ๏ธ Automatic fetching for link titles, descriptions and images.
- ๐ Sort your bookmarks into lists.
- ๐ Full text search of all the content stored.
- โจ AI-based (aka chatgpt) automatic tagging and summarization. With supports for local models using ollama!
- ๐ค Rule-based engine for customized management.
- ๐ OCR for extracting text from images.
- ๐ Chrome plugin and Firefox addon for quick bookmarking.
- ๐ฑ An iOS app, and an Android app.
- ๐ฐ Auto hoarding from RSS feeds.
- ๐ REST API and multiple clients.
- ๐ Multi-language support.
- ๐๏ธ Mark and store highlights from your hoarded content.
- ๐๏ธ Full page archival (using monolith) to protect against link rot.
โถ๏ธ Auto video archiving using yt-dlp.- โ๏ธ Bulk actions support.
- ๐ SSO support.
- ๐ Dark mode support.
- ๐พ Self-hosting first.
- โฌ๏ธ Bookmark importers from Chrome, Pocket, Linkwarden, Omnivore, Tab Session Manager.
- ๐ Automatic sync with browser bookmarks via floccus.
- [Planned] Offline reading on mobile, semantic search across bookmarks, ...
You can access the demo at https://try.karakeep.app. Login with the following creds:
email: [email protected]
password: demodemo
The demo is seeded with some content, but it's in read-only mode to prevent abuse.
The name Karakeep is inspired by the Arabic word "ูุฑุงููุจ" (karakeeb), a colloquial term commonly used to refer to miscellaneous clutter, odds and ends, or items that may seem disorganized but often hold personal value or hidden usefulness. It evokes the image of a messy drawer or forgotten box, full of stuff you can't quite throw awayโbecause somehow, it matters (or more likely, because you're a hoarder!).
- NextJS for the web app. Using app router.
- Drizzle for the database and its migrations.
- NextAuth for authentication.
- tRPC for client->server communication.
- Puppeteer for crawling the bookmarks.
- OpenAI because AI is so hot right now.
- Meilisearch for the full content search.
I browse reddit, twitter and hackernews a lot from my phone. I frequently find interesting stuff (articles, tools, etc) that I'd like to bookmark and read later when I'm in front of a laptop. Typical read-it-later apps usecase. Initially, I was using Pocket for that. Then I got into self-hosting and I wanted to self-host this usecase. I used memos for those quick notes and I loved it but it was lacking some features that I found important for that usecase such as link previews and automatic tagging (more on that in the next section).
I'm a systems engineer in my day job (and have been for the past 7 years). I didn't want to get too detached from the web development world. I decided to build this app as a way to keep my hand dirty with web development, and at the same time, build something that I care about and use every day.
- memos: I love memos. I have it running on my home server and it's one of my most used self-hosted apps. It doesn't, however, archive or preview the links shared in it. It's just that I dump a lot of links there and I'd have loved if I'd be able to figure which link is that by just looking at my timeline. Also, given the variety of things I dump there, I'd have loved if it does some sort of automatic tagging for what I save there. This is exactly the usecase that I'm trying to tackle with Karakeep.
- mymind: Mymind is the closest alternative to this project and from where I drew a lot of inspirations. It's a commercial product though.
- raindrop: A polished open source bookmark manager that supports links, images and files. It's not self-hostable though.
- Bookmark managers (mostly focused on bookmarking links):
- Pocket: Pocket is what hooked me into the whole idea of read-it-later apps. I used it a lot. However, I recently got into home-labbing and became obsessed with the idea of running my services in my home server. Karakeep is meant to be a self-hosting first app.
- Linkwarden: An open-source self-hostable bookmark manager that I ran for a bit in my homelab. It's focused mostly on links and supports collaborative collections.
- Omnivore: Omnivore is pretty cool open source read-it-later app. Unfortunately, it's heavily dependent on google cloud infra which makes self-hosting it quite hard. They published a blog post on how to run a minimal omnivore but it was lacking a lot of stuff. Self-hosting doesn't really seem to be a high priority for them, and that's something I care about, so I decided to build an alternative.
- Wallabag: Wallabag is a well-established open source read-it-later app written in php and I think it's the common recommendation on reddit for such apps. To be honest, I didn't give it a real shot, and the UI just felt a bit dated for my liking. Honestly, it's probably much more stable and feature complete than this app, but where's the fun in that?
- Shiori: Shiori is meant to be an open source pocket clone written in Go. It ticks all the marks but doesn't have my super sophisticated AI-based tagging. (JK, I only found about it after I decided to build my own app, so here we are ๐คท).
Karakeep uses Weblate for managing translations. If you want to help translate Karakeep, you can do so here.
If you're enjoying using Karakeep, drop a โญ๏ธ on the repo!
Karakeep is licensed under AGPL-3.0 and owned by Localhost Labs Ltd.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for karakeep
Similar Open Source Tools
karakeep
Karakeep is a self-hostable bookmark-everything app with a touch of AI for data hoarders. It allows users to bookmark links, take notes, store images and pdfs, and offers features like automatic fetching, full-text search, AI-based tagging, OCR, rule-based engine, Chrome plugin, Firefox addon, iOS and Android apps, auto hoarding from RSS feeds, REST API, multi-language support, and more. The app is under heavy development and aims to provide a self-hosting first solution for managing bookmarks and content.
hoarder
A self-hostable bookmark-everything app with a touch of AI for data hoarders. Features include bookmarking links, taking notes, storing images, automatic fetching for link details, full-text search, AI-based automatic tagging, Chrome and Firefox plugins, iOS and Android apps, dark mode support, and self-hosting. Built to address the need for archiving and previewing links with automatic tagging. Developed by a systems engineer to stay connected with web development and cater to personal use cases.
hoarder-app
Hoarder is a self-hostable bookmark manager with a focus on privacy and customization. It features automatic link previews, full-text search, AI-based tagging, and a variety of import and export options. Hoarder is designed to be easy to use and extensible, with a plugin system that allows users to add their own features and integrations.
aitools_client
Seth's AI Tools is a Unity-based front-end that interfaces with various AI APIs to perform tasks such as generating Twine games, quizzes, posters, and more. The tool is a native Windows application that supports features like live update integration with image editors, text-to-image conversion, image processing, mask painting, and more. It allows users to connect to multiple servers for fast generation using GPUs and offers a neat workflow for evolving images in real-time. The tool respects user privacy by operating locally and includes built-in games and apps to test AI/SD capabilities. Additionally, it features an AI Guide for creating motivational posters and illustrated stories, as well as an Adventure mode with presets for generating web quizzes and Twine game projects.
lumentis
Lumentis is a tool that allows users to generate beautiful and comprehensive documentation from meeting transcripts and large documents with a single command. It reads transcripts, asks questions to understand themes and audience, generates an outline, and creates detailed pages with visual variety and styles. Users can switch models for different tasks, control the process, and deploy the generated docs to Vercel. The tool is designed to be open, clean, fast, and easy to use, with upcoming features including folders, PDFs, auto-transcription, website scraping, scientific papers handling, summarization, and continuous updates.
chatgpt-universe
ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher
obsidian-smart-connections
Smart Connections is an AI-powered plugin for Obsidian that helps you discover hidden connections and insights in your notes. With features like Smart View for real-time relevant note suggestions and Smart Chat for chatting with your notes, Smart Connections makes it easier than ever to stay organized and uncover hidden connections between your notes. Its intuitive interface and customizable settings ensure a seamless experience, tailored to your unique needs and preferences.
CodeProject.AI-Server
CodeProject.AI Server is a standalone, self-hosted, fast, free, and open-source Artificial Intelligence microserver designed for any platform and language. It can be installed locally without the need for off-device or out-of-network data transfer, providing an easy-to-use solution for developers interested in AI programming. The server includes a HTTP REST API server, backend analysis services, and the source code, enabling users to perform various AI tasks locally without relying on external services or cloud computing. Current capabilities include object detection, face detection, scene recognition, sentiment analysis, and more, with ongoing feature expansions planned. The project aims to promote AI development, simplify AI implementation, focus on core use-cases, and leverage the expertise of the developer community.
FreeChat
FreeChat is a native LLM appliance for macOS that runs completely locally. Download it and ask your LLM a question without doing any configuration. A local/llama version of OpenAI's chat without login or tracking. You should be able to install from the Mac App Store and use it immediately.
RTranslator
RTranslator is an almost open-source, free, and offline real-time translation app for Android. It offers Conversation mode for multi-user translations, WalkieTalkie mode for quick conversations, and Text translation mode. It uses Meta's NLLB for translation and OpenAi's Whisper for speech recognition, ensuring privacy. The app is optimized for performance and supports multiple languages. It is ad-free and donation-supported.
AugmentOS
Convoscope is a suite of smart glasses and web tools designed to augment conversations by providing live proactive agents that answer questions, offer definitions, insights, and alternative viewpoints. It includes features like 'Mira' AI Assistant, Convoscope Proactive AI Agents, Language Learning app, Screen Mirror functionality, and upcoming features such as Live Captions, ADHD Glasses, and Live Language Translation. The tool supports various smart glasses models and Android 12+ phones, offering a unique experience for real-life conversations, meetings, and video calls.
AugmentOS
AugmentOS is an open source operating system for smart glasses that allows users to access various apps and AI agents. It enables developers to easily build and run apps on smart glasses, run multiple apps simultaneously, and interact with AI assistants, translation services, live captions, and more. The platform also supports language learning, ADHD tools, and live language translation. AugmentOS is designed to enhance the user experience of smart glasses by providing a seamless and proactive interaction with AI-first wearables apps.
promptbuddy
Prompt Buddy is a Microsoft Teams app that provides a central location for teams to share and discover their favorite AI prompts. It comes preloaded with Microsoft Copilot and other categories, but users can also add their own custom prompts. The app is easy to use and allows users to upvote their favorite prompts, which raises them to the top of the leaderboard. Prompt Buddy also supports dark mode and offers a mobile layout for use on phones. It is built on the Power Platform and can be customized and extended by the installer.
talk-to-chatgpt
Talk-To-ChatGPT is a Google Chrome and Microsoft Edge extension that enables users to interact with the ChatGPT AI using voice commands for speech recognition and text-to-speech responses. The tool enhances the conversational experience by allowing users to speak to the AI and receive spoken responses, making interactions more natural and engaging. It also supports ElevenLabs API integration for creating custom voices for text-to-speech. The extension provides settings for voice, language, and more, and can be installed from the Chrome and Edge web stores or manually. While the project has been discontinued due to upcoming desktop apps from OpenAI, it has been used to assist individuals with disabilities and the elderly in interacting with ChatGPT.
kobold_assistant
Kobold-Assistant is a fully offline voice assistant interface to KoboldAI's large language model API. It can work online with the KoboldAI horde and online speech-to-text and text-to-speech models. The assistant, called Jenny by default, uses the latest coqui 'jenny' text to speech model and openAI's whisper speech recognition. Users can customize the assistant name, speech-to-text model, text-to-speech model, and prompts through configuration. The tool requires system packages like GCC, portaudio development libraries, and ffmpeg, along with Python >=3.7, <3.11, and runs on Ubuntu/Debian systems. Users can interact with the assistant through commands like 'serve' and 'list-mics'.
ollama-app
Ollama App is a modern and easy-to-use client for Ollama, allowing users to have a private experience within their local network. The app connects to an Ollama server using its API endpoint, enabling users to chat and interact with various models. It supports multimodal model input, a multilingual interface, and custom builds for personalized experiences. Users can easily set up the app, navigate through the side menu, select models, and create custom builds to tailor the app to their needs.
For similar tasks
karakeep
Karakeep is a self-hostable bookmark-everything app with a touch of AI for data hoarders. It allows users to bookmark links, take notes, store images and pdfs, and offers features like automatic fetching, full-text search, AI-based tagging, OCR, rule-based engine, Chrome plugin, Firefox addon, iOS and Android apps, auto hoarding from RSS feeds, REST API, multi-language support, and more. The app is under heavy development and aims to provide a self-hosting first solution for managing bookmarks and content.
MegaParse
MegaParse is a powerful and versatile parser designed to handle various types of documents such as text, PDFs, Powerpoint presentations, and Word documents with no information loss. It is fast, efficient, and open source, supporting a wide range of file formats. MegaParse ensures compatibility with tables, table of contents, headers, footers, and images, making it a comprehensive solution for document parsing.
NekoImageGallery
NekoImageGallery is an online AI image search engine that utilizes the Clip model and Qdrant vector database. It supports keyword search and similar image search. The tool generates 768-dimensional vectors for each image using the Clip model, supports OCR text search using PaddleOCR, and efficiently searches vectors using the Qdrant vector database. Users can deploy the tool locally or via Docker, with options for metadata storage using Qdrant database or local file storage. The tool provides API documentation through FastAPI's built-in Swagger UI and can be used for tasks like image search, text extraction, and vector search.
gemini_multipdf_chat
Gemini PDF Chatbot is a Streamlit-based application that allows users to chat with a conversational AI model trained on PDF documents. The chatbot extracts information from uploaded PDF files and answers user questions based on the provided context. It features PDF upload, text extraction, conversational AI using the Gemini model, and a chat interface. Users can deploy the application locally or to the cloud, and the project structure includes main application script, environment variable file, requirements, and documentation. Dependencies include PyPDF2, langchain, Streamlit, google.generativeai, and dotenv.
screen-pipe
Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.
whisper
Whisper is an open-source library by Open AI that converts/extracts text from audio. It is a cross-platform tool that supports real-time transcription of various types of audio/video without manual conversion to WAV format. The library is designed to run on Linux and Android platforms, with plans for expansion to other platforms. Whisper utilizes three frameworks to function: DART for CLI execution, Flutter for mobile app integration, and web/WASM for web application deployment. The tool aims to provide a flexible and easy-to-use solution for transcription tasks across different programs and platforms.
swift-ocr-llm-powered-pdf-to-markdown
Swift OCR is a powerful tool for extracting text from PDF files using OpenAI's GPT-4 Turbo with Vision model. It offers flexible input options, advanced OCR processing, performance optimizations, structured output, robust error handling, and scalable architecture. The tool ensures accurate text extraction, resilience against failures, and efficient handling of multiple requests.
extractous
Extractous offers a fast and efficient solution for extracting content and metadata from various document types such as PDF, Word, HTML, and many other formats. It is built with Rust, providing high performance, memory safety, and multi-threading capabilities. The tool eliminates the need for external services or APIs, making data processing pipelines faster and more efficient. It supports multiple file formats, including Microsoft Office, OpenOffice, PDF, spreadsheets, web documents, e-books, text files, images, and email formats. Extractous provides a clear and simple API for extracting text and metadata content, with upcoming support for JavaScript/TypeScript. It is free for commercial use under the Apache 2.0 License.
For similar jobs
weave
Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.
agentcloud
AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.
oss-fuzz-gen
This framework generates fuzz targets for real-world `C`/`C++` projects with various Large Language Models (LLM) and benchmarks them via the `OSS-Fuzz` platform. It manages to successfully leverage LLMs to generate valid fuzz targets (which generate non-zero coverage increase) for 160 C/C++ projects. The maximum line coverage increase is 29% from the existing human-written targets.
LLMStack
LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.
VisionCraft
The VisionCraft API is a free API for using over 100 different AI models. From images to sound.
kaito
Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.
PyRIT
PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.
Azure-Analytics-and-AI-Engagement
The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customerโs subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.


