Mega MindandGitHub c3718d9e4f Feat/final flow check (#155)
* feat: add mnemonic recovery flow and encryption key management

- Introduced a new Mnemonic page for users to generate or import their recovery phrase.
- Updated routing to redirect users to the Mnemonic page after onboarding.
- Enhanced state management to store and retrieve AES encryption keys derived from the mnemonic.
- Added utility functions for generating and validating BIP39 mnemonic phrases.
- Updated selectors and reducers to handle encryption key state in the auth slice.
- Included new dependencies for cryptographic operations.

* feat: integrate Web3 wallet functionality and enhance state management

- Added WalletInfoSection component to display connected wallet address, network, and balance.
- Updated auth slice to manage primary wallet address derived from mnemonic.
- Enhanced SkillManager to pass wallet address as load parameters for wallet skill.
- Introduced utility function to derive EVM wallet address from mnemonic.
- Updated dependencies for cryptographic operations related to wallet functionality.

* fix: improve error handling and network selection in WalletInfoSection

- Enhanced the parsing of network data to ensure robustness against undefined values.
- Updated network selection logic to prioritize valid entries and provide a fallback.
- Improved error logging for better debugging of wallet information loading issues.
- Adjusted balance retrieval to handle cases where chain_id may be missing.

* feat: add socket event contract for Tauri integration

- Documented the socket event contract for communication between the backend and frontend in Tauri mode.
- Introduced constants for `REQUEST_ENCRYPTION_KEY` and `ENCRYPTION_KEY_EVENT` to facilitate encryption key management.
- Updated `setupTauriSocketListeners` to handle the encryption key request and response flow.

* Refactor wallet information fetching and connection status handling

- Updated `WalletInfoSection` to improve loading state management and error handling during wallet info retrieval.
- Introduced a retry mechanism for fetching wallet information with a maximum of 5 attempts.
- Enhanced connection status logic in `SkillsGrid` to treat missing authentication status as connected.
- Added a new method in `SkillManager` to set the wallet address and notify the wallet skill accordingly.

* feat: add integration token fetching and decryption functionality

- Introduced `fetchIntegrationTokens` API call to retrieve encrypted OAuth tokens for integrations.
- Implemented decryption logic for integration tokens using a provided key.
- Enhanced deep link handling to support fetching and storing integration tokens upon successful OAuth login.
- Added utility functions for hex and base64 conversions to facilitate token decryption.
- Updated `authApi.ts` and `desktopDeepLinkListener.ts` to integrate new functionality.

* refactor: move integration token encryption/decryption logic to a new utility file

- Extracted encryption and decryption functions for integration tokens into `integrationTokensCrypto.ts`.
- Removed redundant functions from `desktopDeepLinkListener.ts` to streamline the code.
- Updated deep link handling to store only the encrypted tokens instead of decrypted ones.
- Improved type definitions for integration tokens and their payloads.

* feat: enhance Gmail skill integration and state management

- Updated `SkillManager` to accept an optional access token for Gmail during OAuth completion.
- Introduced `gmailSlice` to manage Gmail user profile and emails in the Redux store.
- Implemented synchronization of Gmail skill state with the Redux store to keep user data updated.
- Refactored `SkillProvider` to handle Gmail state changes and fetch initial state from the backend.
- Adjusted deep link handling to pass decrypted access tokens for Gmail integration.
- Modified API endpoint for onboarding completion to remove the Telegram prefix.

* feat: implement Gmail metadata synchronization to backend

- Added a new utility function `syncGmailMetadataToBackend` to emit Gmail profile and email summaries to the backend via the `integration:metadata-sync` socket event.
- Updated `SkillProvider` to call the new synchronization function, ensuring Gmail skill state is sent to the backend when updated.

* refactor: update Tauri socket event handling and improve Mnemonic component typing

- Revised the Tauri socket event contract to clarify that encryption key handling is managed via the API instead of the socket.
- Removed outdated socket event constants related to encryption key requests from `tauriSocket.ts`.
- Enhanced type definitions in the `Mnemonic` component by specifying the event type for keyboard events.

* fix: update Gmail provider constant and adjust metadata synchronization logic

- Changed the constant for the Google provider from 'google' to 'gmail' for clarity.
- Commented out the email metadata synchronization logic in `syncGmailMetadataToBackend` to prevent potential issues with undefined email states.

* feat: implement Gmail metadata synchronization service

- Added a new file `metadataSync.ts` to handle the synchronization of Gmail profile and email summaries to the backend via the `integration:metadata-sync` socket event.
- Updated import paths in `SkillProvider` to reflect the new location of the Gmail metadata synchronization function.
- Enhanced type definitions for Gmail profile and email summaries to ensure proper data structure during synchronization.

* refactor: clean up code formatting and improve readability across multiple components

- Standardized import statements and formatting in various files, including `WalletInfoSection`, `AgentChatPanel`, and `SkillsPanel`.
- Enhanced readability by adjusting line breaks and spacing in JSX elements and function definitions.
- Improved consistency in the use of arrow functions and destructuring across components.
- Updated type definitions and ensured proper alignment of code for better maintainability.

* feat: enhance error handling in WalletInfoSection and improve user feedback

- Added error reporting functionality in `WalletInfoSection` to capture and enqueue errors when wallet info fails to load.
- Updated `Mnemonic` component to handle user state more robustly, ensuring encryption key is only set if the user is loaded.
- Refactored `TauriCommandsPanel` to improve string comparisons for loading states by converting to lowercase.
- Adjusted deep link handling in `desktopDeepLinkListener` to use trimmed hex values for encryption key conversion.

* fix: improve balance parsing and error handling in WalletInfoSection

- Updated balance parsing logic in `WalletInfoSection` to ensure that non-finite values default to zero.
- Enhanced error handling in `desktopDeepLinkListener` by adding error reporting for invalid encryption keys and conversion failures, improving user feedback and debugging capabilities.

* Merge remote-tracking branch 'upstream/develop' into feat/final-flow-check

* chore: update submodule URL for skills repository to use HTTPS

* chore: update skills submodule to latest commit and enhance SkillsGrid component

- Updated the skills submodule to the latest commit for improved functionality.
- Refactored `SkillsGrid` to better handle skill setup logic, ensuring accurate representation of skills with setup requirements.
- Cleaned up code formatting and improved readability in various components, including `SkillActionButton` and `desktopDeepLinkListener`.

* feat: implement Notion metadata synchronization and user profile management

- Added a new service `metadataSync.ts` to handle synchronization of Notion user metadata to the backend via the `integration:metadata-sync` socket event.
- Introduced a new Redux slice `notionSlice.ts` for managing the Notion user profile state.
- Updated `SkillProvider` to fetch and sync Notion user profile upon connection, ensuring seamless integration with the backend.
- Enhanced the store configuration to include the new Notion reducer.

* refactor: remove unnecessary console warnings in SkillProvider

- Eliminated console warnings related to Notion user retrieval errors and auto-loading skills, streamlining the logging process for better clarity and reducing noise in the console output.
- Improved code readability by cleaning up commented-out warning messages that were no longer needed.
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AlphaHuman Mk1

Your most productive co-worker
A user-friendly (GUI-first) AI agent. AlphaHuman uses the Neocortex Mk1 model to co-ordinate memories & realtime-data, cheaper and faster than other models.

Early Beta Platforms Latest Release

About · vs OpenClaw · Download · Getting Started · Architecture · Changelog

The Tet

"The Tet. What a brilliant machine" — Morgan Freeman in Oblivion

AlphaHuman is a personal AI assistant that helps you manage high-volume communication without reading everything yourself. It connects to your messaging platforms and productivity tools, understands conversations in context, and produces clear, actionable outputs you can use immediately.

AlphaHuman is not a chatbot, browser extension, or cloud-only service. It is a native application that runs on your device, connects to your tools, and works only when you ask it to. Think of it as a second brain that sits across your communication and productivity stack.

AlphaHuman vs OpenClaw

AlphaHuman is designed to be simpler to deploy, cheaper to run, and more intelligent in how it uses models and memory.

OpenClaw AlphaHuman
Runtime Node.js (TypeScript) Tauri (Rust + React), native binary
Inference Single-tier or manual routing Custom two-tier: task-routed (summarize/vibe/memory → cheap; complex/tools → premium)
Memory Often external (Pinecone, Lucid, etc.) or markdown-only Custom hybrid: SQLite FTS5 + vector similarity, optional encryption, no external vector DB
Tunneling Third-party (ngrok, Cloudflare, Tailscale) or none Custom tunneling — secure app-to-backend path without vendor lock-in
Cost Typically one premium model for everything Lower — Tier 1 for most ops; Tier 2 only when needed
Intelligence General-purpose agent loop Smarter — vibe detection, interest-based escalation, constitution-driven behavior, session-aware memory
Deployment Server/Node process, high memory footprint Native desktop/mobile app, Rust socket manager, smaller footprint

OpenClaw is a strong open-source agent framework. We chose to build a custom stack so we could own inference routing, memory, and tunneling end-to-end and optimize for cost and clarity.


Download

Early Beta — AlphaHuman is under active development. Expect rough edges.

Platform Variant Download
macOS Apple Silicon (M1/M2/M3/M4) .dmg (aarch64)
macOS Intel .dmg (x64)
Windows x64 .msi
Linux Debian / Ubuntu .deb (amd64)
Linux Fedora / RHEL .rpm (x86_64)
Linux Universal .AppImage
Android Coming soon
iOS Coming soon

Browse all releases: github.com/alphahumanai/alphahuman/releases

Getting Started

  1. Download the installer for your platform from the releases page
  2. Install the app (drag to Applications on macOS, or use your package manager on Linux)
  3. Connect a source — follow the in-app onboarding to link Telegram, Notion, Gmail, or other services
  4. Run your first request — ask the AI to summarize what you missed, extract action items, or surface key decisions


Made with love in India 🇮🇳

AlphaHuman is in early beta. Features may change, break, or disappear. Use at your own risk.

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Description
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Readme GPL-3.0
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TypeScript 37.9%
JavaScript 1.6%
Shell 1.2%
CSS 0.1%