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.
About · vs OpenClaw · Download · Getting Started · Architecture · Changelog
"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
- Download the installer for your platform from the releases page
- Install the app (drag to Applications on macOS, or use your package manager on Linux)
- Connect a source — follow the in-app onboarding to link Telegram, Notion, Gmail, or other services
- Run your first request — ask the AI to summarize what you missed, extract action items, or surface key decisions
Links
- Architecture Overview — How AlphaHuman is built
- Changelog — Release history
- Website — Learn more
Made with love in India 🇮🇳
AlphaHuman is in early beta. Features may change, break, or disappear. Use at your own risk.