Pally

Pally connects to Gmail, Outlook and iCloud mail, Google and iCloud calendars, WhatsApp through Linked Devices, iMessage through its Mac app, Slack, Google Drive, Docs and Sheets, Notion, Linear, GitHub, Jira, Todoist, Granola and X, with app authorization handled by Composio and room for custom integrations.

It acts in them, sending WhatsApp and iMessage messages and email, forwarding mail, creating calendar invites and editing a Google Doc in place once the user approves. Sites without an integration are reached through browser errands that sign in with saved logins, and a bank account can be linked read only for recurring charges.

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Background tasks carry an errand across messages, email, the browser and calls, retry after a brief model error and pick up new choices from the chat while they run. Automations are written in a sentence and can carry conditions, such as nudging a friend who still owes money once three days pass. Through the trusted network, a user's Pally hands parts of a job to the Pallys of a partner, friends or colleagues, each acting under its own owner's sharing choices, and in a group chat each member's request runs on that member's own Pally and accounts.

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Connected mail, calendars, chats, Drive files and Notion pages are read when a question needs them, and web research runs through Exa. From each connected inbox Pally also keeps structured records of receipts, order confirmations and renewal notices from about the past 12 months, with merchant, items, amount, date and repeat cycle, alongside recurring charges from a linked bank account. Outside those purchase records, documents are read at request time instead of being indexed into a lasting knowledge store.

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Pally checks with the user before it spends or sends anything not already asked for or approved, and sends on its own only within limits the user sets, such as messages to a named group. A purchase lays out the exact items, seats, fees and total for a single approval, stops if any of them change, and follows the wallet's own approval settings.

Drafts appear before they go and expire after seven days unapproved, approvals can be given by voice during a call, approvals in group chats happen privately in each person's own thread, and the user can take over a live browser session and hand it back.

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Each person in the trusted network picks, one capability at a time, what their Pally may share with each circle, starting from just a name and contact card, and in a group chat a personal request never runs on another member's accounts. Data is encrypted in transit and at rest with access limited inside the company, website logins sit in an encrypted vault run by Kernel that Pally itself never sees, and content arriving from outside is treated as information, never as instructions. Pally holds no SOC 2 or ISO certification and offers no team administration or single sign on.

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Browser errands run with a live view and screenshots the user can watch, paused while a card number is entered, and a stopped session comes back with an accurate account of what happened. Users can ask what changed in their automations, rules and saved preferences, group automations show their latest real results, and recalled activity appears in the user's own time zone. A log of every step and tool call behind a task, ready for export or review, is not part of the product.

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Memory is built around people, not files, covering who the user talks to, what they last discussed and what was promised, such as a friend's dietary needs or a deck owed to an investor. Pally tidies it every night, and the user can ask what it remembers, edit it, tell it to forget something, which then stays out after the nightly update, download it or delete the account. Memory is held per user, a group chat's history and memory belong to the group, and both are kept while the account is active.

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Everything runs on AWS in the US, with iMessage, RCS, phone and email delivery through US providers and Telegram traffic passing through the UAE. Cloud Mac instances are dedicated macOS machines on AWS in the US. A user cannot choose a region, and there is no private deployment or self hosting.

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Ready made recipes start from one message and each does a whole job. They include Inbox triaged, Morning brief, The friendly nag, WhatsApp and iMessage catch up, Flight finder, Flight day, Price drop and restock watch, Buy it for me, Pre meeting briefs, A memory for your people, Receipt keeper, Your Mac from anywhere, Call Pally and Quote hunter. A machine readable catalog lists every guide and recipe entry point with its opening message.

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Automations fire the moment something happens, such as an email from a landlord, or on a schedule, and email triggered rules read new Outlook and Gmail messages as they arrive. Morning briefs, alerts on important messages across every connected account, flight day changes and price drop or restock watches arrive unprompted. People reach Pally by text, voice note or a call to its number, and in an iMessage or Telegram group it answers when someone names it or replies to one of its messages.

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Pally picks the model for each turn. Most turns route through OpenRouter to hosts that do not train on user data, running Google Gemini, OpenAI and Anthropic Claude models, with open weight models served by Phala, Novita, Together AI, Modal and Baseten for some steps, and OpenAI also handles phone calls, transcription and memory search. A user cannot choose the model, and routines that pass the usage limit keep running on a lighter one.

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Pally runs its own MCP server over streamable HTTP, secured with OAuth 2.1, dynamic client registration and PKCE, and it connects from Claude, ChatGPT in developer mode and Cursor once the user sends a single use code in the Pally chat. It exposes two tools, message_pally to send a message and get the reply and check_pally to collect the result of a long job, under the same approval rules as the chat. There is no public API or SDK for managing tasks, automations, memory or connections directly.

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An automation starts work as soon as it is written, with no test run, quality check or side by side comparison beforehand. Pally reports changes to a user's setup once and explains them on request, which keeps configuration visible without measuring how well the assistant performed.

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Browser errands run in a hosted browser on Kernel that signs in with saved logins or Google, reads one time codes from email or messages, fills checkout forms, takes seat holds and completes orders on sites such as Amazon and Instacart, stopping to tell the user what a site needs when it gets stuck. The user can watch the live view, take control and hand the session back. The Pally Mac app lets Pally see the user's own Mac screen, find a file and run the next step, and Cloud Mac, sold separately, gives it a dedicated macOS machine in the cloud.

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