Mega MindandGitHub 6356e3bdc4 Payment Flow resolved (#127)
* feat: implement payment success deep link handling and confirmation banner

- Added a new state to manage payment confirmation in BillingPanel.
- Implemented a deep link listener for payment success and cancellation events.
- Created functions to build payment success and cancel deep links.
- Displayed a confirmation banner upon successful payment, which auto-hides after 5 seconds.

* feat: enhance payment success handling in BillingPanel

- Updated the onPaymentSuccess function to be asynchronous.
- Added a call to fetch the current billing plan from the backend after a successful payment.
- Implemented error handling for the API call to ensure robustness.

* fix: improve payment success timeout handling in BillingPanel

- Introduced a timeoutRef to manage the auto-hide functionality of the payment confirmation banner.
- Ensured that the timeout is cleared when the component unmounts to prevent memory leaks.
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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.

S
Description
No description provided
Readme GPL-3.0
220 MiB
Languages
Rust 59.1%
TypeScript 37.9%
JavaScript 1.6%
Shell 1.2%
CSS 0.1%