Enchanted Developers Only vs Pebble Mind

Enchanted is chat app for LLM researchers to chat with self hosted models. Enchanted supports Ollama API and all ecosystem models. It is necessary to have a running Ollama server to use this app and specify the server endpoint in app settings. Enchanted supports streaming and latest Chat API with conversation context. You can quickly switch between your models to test your prompts. Enchanted supports Markdown, therefore tables, lists and code will be nicely formatted. The app is in early days, but had a long roadmap to be leading tool for LLM community running self hosted models.

Your AI. Your models. Your device. Pebble Mind is a private, local-first AI workspace for running language and multimodal models on iPhone and iPad. Powered by llama.cpp, it brings local AI chat to your device without an account, API key, or remote inference service. Download a compatible model and keep chats and llama.cpp inference on device. PRIVATE BY DEFAULT Your conversations, attachments, settings, and downloaded models are stored locally. Prompts sent to downloaded llama.cpp models do not need to leave your device. Web Search is optional; when enabled, it can access current web information and show sources in your conversation. CHOOSE YOUR MODEL Browse text and multimodal models in one library. Check download size, device compatibility, memory requirements, and availability. Download GGUF models, switch between models, and manage storage in the app. MORE THAN TEXT Compatible multimodal models can work with photos, camera captures, PDFs, documents, and extracted text—all in the familiar chat experience. RECIPES FOR EVERYDAY TASKS Recipes turn personal information into practical next steps. Tailor a request, review results, and confirm before supported changes are made. Access is requested for the data source each recipe uses. • Plan what is next — Prepare for calendar events, schedule clashes, and travel days. • Explore nearby — Find restaurants, cafés, parks, museums, landmarks, and activities around your requested area. • Find patterns in Photos — Search objects and visual patterns, or review similar photos. Analysis runs on device; confirm before adding Favorites or deleting selected photos. • Reconnect with people — Find birthdays, possible duplicate contacts, and saved details; review and confirm merges. • Triage my reminders — Review due dates, lists, priorities, and undated tasks; choose reminders to complete or reschedule. • Understand my wellness — Explore recorded activity, sleep, cardio, vitals, mobility, body composition, nutrition, hydration, mindfulness, and audio exposure. Health data is read-only and not medical advice. • Explore my music taste — Find patterns in saved music by artist, genre, album, or release year; create playlists from tracks you select. • Plan around daylight — Check approximate sunrise and sunset times and prepare for outings. These are not live weather or safety forecasts. Recipe availability depends on your device. Some recipes require Pebble Mind Pro. BUILT FOR LOCAL AI • On-device llama.cpp inference • Streaming responses and text/multimodal models • Searchable conversations and model library • Optional web search with visible sources • Markdown responses; stop and retry generation • Per-model Temperature, Top-P, Top-K, context, and reply-length controls • Model download and storage management • Conversation sharing and export • Native, privacy-focused iOS experience PEBBLE MIND PRO Pebble Mind Pro is an optional one-time purchase, not a subscription. It unlocks custom model importing, expanded model management, advanced controls, generation metrics, data transfer, configurable search domains, context compaction, and additional Recipes. NETWORK ACCESS, WHEN YOU CHOOSE IT Internet access is used for model downloads, optional Web Search, and Explore nearby. Nearby searches use Apple Maps and share your query and approximate location with Apple. Model files may be downloaded from Hugging Face; web-search queries may be sent to external search services. Run AI locally. Choose your models. Keep control of your data.