Read Recall vs mycellm

Read Recall – Read deeper. Remember longer. Read Recall helps you build a meaningful reading habit by combining reading logs, guided note-taking, and smart prompts that turn every page you read into lasting knowledge. Capture what you read with quick notes, add reflections, and review your insights anytime. Whether you're reading books, articles, or study materials, Read Recall helps you understand more and remember longer. MAIN FEATURES • Reading Sessions: Track pages or time read and save notes for each session. • Guided Prompts: Answer simple questions that improve comprehension and strengthen long-term memory. • Daily Habit: Set daily reading goals and keep your streak alive. • Progress Tracking: See your reading history by day, week, or month. • Smart Organization: Add tags and quickly find any note or highlight. • Easy Export: Export notes to PDF or HTML for long-term use. • AI Assistance: Summaries, clarifications, and smart insights based on your notes. WHY READ RECALL? It’s not an ebook reader and not just a journal. Read Recall focuses on turning what you read into real understanding. No more forgetting a book the moment you finish it. PRICING Free Tier: You can create 1 session to try all essential features. Delete the session anytime to continue trying. Always limited to 1 session. Pro Plan – Monthly: Unlimited sessions, 1.99 USD per month. Pro Plan – Annual: Unlimited sessions, 14.99 USD per year. Pro plan - billed monthly: unlimited sessions, 1.99 USD/month. Pro plan - billed annually: unlimited sessions, 14.99 USD/month. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Mycellm turns your iPhone or iPad into a node on a distributed AI inference network. Run open LLMs on your own hardware — no account, no telemetry, no cloud middleman. Use it three ways, and own every layer. LOCAL — ON YOUR DEVICE Load a model and run inference entirely on-device. Fully offline, airplane-mode friendly. On-device Privacy Guard scans prompts for secrets before anything hits the wire. TRUSTED DEVICES — YOUR OWN NETWORK Point your phone at a node you trust — your Mac Studio, your iPad Pro, your homelab — and run models far bigger than any single device could hold. Your phone stays light; a machine you own does the heavy lifting. No cloud. PUBLIC — THE FREE NETWORK Tap the public mycellm net: open models served by GPUs worldwide. Earn credits by serving spare compute, spend them to run larger models. Peer-to-peer, no subscription. FEDERATE Stand up your own network with its own trust policy and credit ledger, mint invite tokens, and bridge trusted networks with cross-network routing. You decide membership, models, and data flow. UNLEASH THE iPAD PRO An iPad Pro (M4/M5) is a serious AI machine that sits idle most of the day. Put it to work: more unified memory runs larger models, Metal delivers 30+ tok/s on multi-billion-parameter models. Serve your iPhone, your team, or the network — first-class on any device that runs a model. FOR PEOPLE WHO RUN THEIR OWN STACK - Serves the same chat-completions REST API your tools already speak — point curl, Claude Code, or your own clients at your device. - Vision models: attach an image and ask, on-device. - Live dashboard: tok/s, credits, peers, node health. - Auto hardware-fit: picks quantizations that match your RAM. - Open source, Apache 2.0. Audit it, fork it, run it. No black boxes, no lock-in. It's BitTorrent for LLMs — every node both uses the network and makes it stronger. Full docs and use cases at mycellm.dev. Bring your own models, keep your data, and run AI on your terms.