# ShogunAI

> ShogunAI is a privacy-first macOS desktop app that builds a persistent memory of your workday and executes tasks across your tools — locally, on your own device.

ShogunAI is a macOS-native personal AI layer that remembers your workday and acts on it. Built for Apple Silicon, it runs on-device, captures context from your apps through the macOS accessibility layer, and executes tasks inside the tools you already use — all without sending your raw data to a server. The product is currently in early-access waitlist stage, with the site reporting over 570 people have joined.

## What It Is

ShogunAI positions itself as a "personal AGI on your PC" — not a smarter model, but a memory and execution harness layered around the frontier models you already use. It solves two problems the team identifies as persistent gaps: the cold-start problem (every AI session requires re-explaining your context) and the answer-not-outcome problem (AI gives you a draft, but you still do the filing, sending, and follow-through). ShogunAI addresses both by maintaining a live, private memory of your work and acting on it through a structured execution layer with explicit approval gates.

## How the Memory Layer Works

ShogunAI reads text from the macOS accessibility layer — the same channel screen readers use — and indexes it on-device using a bundled multilingual embedding model. Key mechanics:

- **Tiered memory**: the last day is kept in full for fast recall; the last month in full detail; older content is compressed
- **Visual recall**: an optional compressed screenshot is taken only where text capture returns nothing; off by default, encrypted, and auto-deleted at a retention age you set (1–7 days or a custom duration)
- **Meeting audio**: streamed to a speech service for live transcription only; never written to disk; only the transcript persists
- **Source and time attached**: every recalled item carries where it came from and when, so answers can be verified rather than trusted

## The Execution Layer and Autonomy Model

The execution layer operates under three named levels of autonomy: reversible work (runs automatically), drafts (wait for user review), and anything that leaves the Mac (requires explicit approval before sending). The site states that "no prompt moves that line" — the approval boundary for outbound actions is fixed by architecture, not by configuration. Every action leaves a traceability log recording what ran, on what evidence, and what left the device. Third-party hops are marked in the log.

Supported execution actions include inline drafting (press Option to write a continuation at the cursor in any app), meeting minutes with proposed next actions, two-way live translation, daily briefs, and cross-tool recall over mail, calendar, chat, and docs.

## Privacy and Deployment Architecture

ShogunAI's architecture is explicitly local-first:

- Capture, indexing, and search all run on the Mac with no server-side copy
- Encrypted local store; no training on user data
- BYOK (bring your own API key) supported — keys live in the system keychain
- Users can also run on an existing assistant subscription (e.g., ChatGPT, Claude) without a separate API key
- What does leave the device is scoped to the specific slice needed for a request, logged with its purpose, and marked when it passes through a third party

The FAQ confirms the product is macOS-only and built on native macOS capabilities — the accessibility layer, the notch panel, and the system keychain — running on Apple Silicon. The team states a version for another platform "would be a different product, not a port."

## Current Status and Recognition

ShogunAI is in early access as of 2026, with a waitlist open at no cost. The site notes it won the YC RFS Hackathon 2026 (presented by Transpose) and is a member of the NVIDIA Inception Program. It is also featured on Product Hunt. The team describes itself as "a small product and engineering team focused on privacy-first personal AI." Integrations shown include Gmail, Notion, Google Calendar, Slack, GitHub, Linear, Figma, Stripe, Salesforce, Perplexity, Discord, Asana, Dropbox, Vercel, and Claude/ChatGPT/Grok as model providers.

## Features
- On-device AI memory capture via macOS accessibility layer
- Natural-language recall across mail, chat, docs, and calendar
- Three-level execution autonomy (reversible, draft, approval-required)
- Inline drafting at cursor with Option key shortcut
- Meeting detection, live transcription, and auto-generated minutes
- Two-way live translation
- Daily brief with open loops and commitments
- Tiered memory (day/month/compressed archive)
- Optional visual recall with encrypted screenshots
- BYOK (bring your own API key) support
- Run on existing assistant subscription (ChatGPT, Claude, etc.)
- Traceability log for all actions and egress
- MCP, CLI, and REST access to shared memory
- Encrypted local store with no cloud copy by default
- Cross-tool search with source and timestamp on every result

## Integrations
Gmail, Notion, Google Calendar, Slack, GitHub, Linear, Figma, Stripe, Salesforce, Perplexity, Discord, Asana, Dropbox, Vercel, ChatGPT, Claude, Grok, Cursor

## Platforms
WINDOWS, MACOS, IOS, API, CLI

## Pricing
Subscription-based

## Links
- Website: https://shogunaios.com
- Documentation: https://shogunaios.com/en/features
- EveryDev.ai: https://www.everydev.ai/tools/shogunai