Pantry for Nextcloud vs Talaria Agent Client

Pantry is a companion app for the Nextcloud Pantry server app. It lets you and your household members collaborate on shared checklists, a photo board, and a notes wall — all stored on your own Nextcloud server. * Checklists Create shopping lists and to-do lists with categories, quantities, recurring items, and images. Drag to reorder, sort by name or date, and check items off as you go. * Photo Board Upload and organize photos into folders. Add captions, drag to reorder, and browse everything in a clean grid view. * Notes Wall Keep shared notes with your household. Color-code them, write in markdown, and pin the important stuff where everyone can see it. * Your data, your server Pantry connects directly to your Nextcloud instance. No accounts to create, no cloud services in between. Your data never leaves your server. * Features - Shared checklists with categories, quantities, and recurrence - Photo board with folders, captions, and multi-upload - Color-coded notes wall - Drag-and-drop reordering everywhere - Multi-select for bulk actions - Offline caching for fast loading - Material Design 3 with dark mode support - Secure login flow authentication * Requires a Nextcloud server with the Pantry app installed. Visit the project page for setup instructions.

Talaria is a native iPhone and iPad client for Hermes Agent — the open-source agent you run on your own computer. It is not a chatbot with a server behind it. It talks to your machine, runs your models, and holds your credentials on your device. REQUIRES HERMES AGENT You need Hermes Agent running on a computer you control: github.com/NousResearch/hermes-agent Talaria connects to it over your own network. There is no Talaria account and no service in the middle. If you do not run Hermes, this app has nothing to connect to — open it and tap "Look around with sample data" to see how it works first. EVERY CONVERSATION, EVERYWHERE Sessions you started in the CLI, in the desktop app, or through a chat platform all show up in one list, with previews and the branch each was working on. Pick one up on your phone exactly where you left it. WATCH IT WORK Replies stream in as they are written. Every tool run is there to read — the command, the output, the file it touched — instead of a spinner and a summary. Charts and images the agent generates appear inline. YOU STAY IN THE LOOP When the agent is about to do something destructive, it stops and asks. Approvals, clarifying questions, sudo requests and credential prompts arrive on your phone, and nothing runs until you answer. TALK TO IT Hold the microphone and speak. Recognition happens on your phone whenever iOS has the offline language model installed for your language; where it does not, Apple's speech service transcribes the audio. Choose "On the server" for either direction in Settings to send it to your own gateway instead. SCHEDULED TASKS See what your agent is set to do and when, read what happened on past runs, and edit the schedule, the model and the prompt from your phone. SKILLS, TOOLS AND MEMORY Browse installed skills and turn them on or off. See connected MCP servers and the tools they expose. Read the agent's memory. Browse the working directory. WHAT IT COSTS TO RUN Token counts and spend per model, so you can see what a conversation actually cost. CHOOSE THE MODEL PER CONVERSATION Set the model and the thinking level before you send the first message, or change either mid-conversation. Eight thinking levels, from off to ultra. HOW IT CONNECTS Over HTTPS to a gateway with a valid certificate, or with a prompt to inspect and trust a self-signed one — the same way an SSH client asks about a host key. Plain HTTP is allowed only to addresses that cannot leave a private network: Tailscale, your LAN, or localhost over a forwarded port. Credentials live in the iOS keychain. PRIVACY No account. No analytics. No crash reporting. No server operated by us, because there isn't one. Your data goes to the gateway you point it at — and, if you dictate on a device without the offline language model, the audio goes to Apple for transcription. Nowhere else. Talaria is not affiliated with Nous Research.