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Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Popular tool to chat with PDFs and other documents, giving summaries and cited answers, with a free daily tier and no-signup start.
Adaptive online exam prep for finance, insurance, healthcare and academic tests using spaced review and a pass guarantee.
Open-source node-based engine for visual AI, giving pros granular control to build image, video, and 3D generation workflows.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Chat with PDFs, Word, PowerPoint and text files
- ✦Summaries with cited sources
- ✦Multi-file chats via folders
- ✦Any-language upload and chat
- ✦Extra tools: AI writer, detector, flashcards, slides
- ✦No-signup quick start
- ✦Complete written course content
- ✦Adaptive spaced-repetition review
- ✦Tracked intelligent quizzes
- ✦Progress and memory tracking
- ✦Mobile-first study experience
- ✦Pass guarantee / money-back
- ✦Weekly newsletter with high-quality insights
- ✦Deep dives into ML topics
- ✦Tools used by Machine Learning engineers
- ✦ML System design course (coming soon)
- ✦YouTube channel (coming soon)
- ✦Archive of past articles
- ✦Node-based workflow canvas
- ✦Simplified App Mode view
- ✦Community workflow templates and hub
- ✦Comfy Desktop (local) and Comfy Cloud
- ✦Comfy API for production endpoints
- ✦60,000+ nodes and many models
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Understand research papers
- →Study and homework help
- →Review contracts and reports
- →Translate and summarize documents
- →Pass securities licensing exams
- →Prepare for insurance or healthcare licensing
- →Study for the GRE, SAT or AP exams
- →Fit exam prep around a busy schedule
- →Upskilling as a Machine Learning engineer
- →Learning about ML systems at scale
- →Staying updated on the latest ML tools and techniques
- →Understanding ML system design principles
- →Building custom image/video/3D pipelines
- →VFX, advertising, gaming, and ecommerce content
- →Running workflows on cloud GPUs
- →Deploying workflows as production APIs