Talks and listens
Speech recognition with Whisper and a natural voice with Piper — both run on your own machine.
Open-source AI companion
Chat, memory, voice and vision. Blink runs on your computer today and moves into a small desk robot when you are ready.
Most assistants live in a browser tab. This one has a screen on your desk, a memory you can open and read, and a folder of its own. And it tells you what it is doing while it works.
The dashboard
Replies arrive the way a person texts: a quick note, the tools it used, then the answer — with sources underneath.
What it learns about you and your people lives in plain Markdown notes on your own disk. Open them, fix them, delete them.
A name, a personality, themes, accents and wallpapers. Dark graphite and terracotta out of the box.
A native Android app for your chats, files and voice input, connected to the same bot.
The device
A small screen on your desk with a clock, the weather and a drawer full of apps — everything you need within reach.
Raspberry Pi · screen · mic · speaker · camera
And more
Speech recognition with Whisper and a natural voice with Piper — both run on your own machine.
Write to it in Telegram or Discord — the conversation shows up in the dashboard too.
Face and motion detection over a webcam, so it notices when you sit down.
YouTube and YouTube Music right on the device — just ask.
Morning digests, reminders and recurring jobs run on their own.
It reads and writes files in its workspace and draws diagrams you can edit.
How it works
Screen, mic, speaker and camera. Reflexes in under 50 ms.
< 50 msMemory, tools, voice and the dashboard. Answers in 100–500 ms.
100–500 msAny model through the OpenClaw gateway — swap it whenever you like.
0.3–3 sGet started
No hardware needed to begin: the whole bot runs on your computer first, and the robot can wait.
You will need Python and access to a language model. The README walks you through both.
git clone https://github.com/Imlokzu/blinkbot.git
cd "blinkbot/Virtual Bot" && ./start.sh
open http://127.0.0.1:8100/dash/
Free, open source, and already waiting on GitHub.
Open on GitHub