ShellX vs Talaria Agent Client

The missing link between your phone and your automation workflows. ShellX is a thin client that connects your mobile device directly to n8n, Make, Zapier, Home Assistant, or any webhook endpoint. Voice, text, photos, documents, barcodes, GPS — everything goes straight to YOUR infrastructure. We never see your data. HOW IT WORKS 1. Configure your webhook URL 2. Send input (voice, text, photo, scan) 3. Your automation processes it 4. See the response (text, voice, or image) That's it. ShellX doesn't process anything — your workflow does. USE CASES - Chat with your AI agent connected to your company data - Field workers submitting reports via voice - Inventory management with barcode scanning - Home automation voice control - Client-facing interface for your automation agency KEY FEATURES - Works with ANY webhook (n8n, Make, Zapier, ESP32, custom APIs) - Voice input transcribed and sent to your workflow - Responses can be text, audio, or images - Labels to switch between multiple workflows instantly - Quick Mode for one-off commands, Chat Mode for conversations - QR and barcode scanner built-in - Photo and document uploads - Push notifications when your workflow responds - GPS location sharing PRIVACY BY DESIGN Your data never touches our servers. ShellX connects directly to your endpoint. Conversation history stays on your device. No accounts required for personal use. All features included. No ads. No data mining.

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.