Hey guys, I found a better way to install OpenClaw on Android. Every other repo I found online was using proot to install Ubuntu first. When I tried that it was very slow and unresponsive.
My method installs OpenClaw directly on Termux. More responsive, unlocks more functionality, better architecture.
Repo Link : https://github.com/Mohd-Mursaleen/openclaw-android
Drop a ⭐ if you find it useful
Last month I posted about running OpenClaw on Termux and a bunch of you wanted to try it. Here's what actually happened.
OpenClaw ran, but barely, Hermes runs natively on Termux. No shims, no custom toolchain. Install and go.
The real unlock was multi-agent.
I even gave one of my agents Claude code so he can code better with my Claude code on a $20 pro subscription.
On OpenClaw I never got past 2 agents without something breaking. On Hermes I have 7 running for different tasks.
How to install : [github]
My multi-agent setup/how i use it : [link]
Hey guys, I found a better way to install OpenClaw on Android. Every other repo I found online was using proot to install Ubuntu first. When I tried that it was very slow and unresponsive.
My method installs OpenClaw directly on Termux. More responsive, unlocks more functionality, better architecture.
Repo Link : https://github.com/Mohd-Mursaleen/openclaw-android
Drop a ⭐ if you find it useful.
started as a curiosity. ended up working.
i wanted to see if i could run OpenClaw (an AI agent gateway) completely offline on an old Redmi phone.
first tried llama.cpp in Termux — too slow, unusable.
then switched to Google's LiteRT runtime which uses GPU + CPU together. same phone, same model, actually worked.
now Gemma 4 runs locally on the phone, OpenClaw connects to it in Termux, and the whole agent stack works with WiFi off.
it can automate apps on the phone, respond to tasks, and do it all without touching the cloud.
ran OpenClaw completely offline on my Redmi.
no internet. no cloud. no API keys.
just Gemma 4 running locally on the phone via Google's LiteRT runtime (apk needed), and OpenClaw connected to it in Termux.
the whole stack lives on the device — the model, the agent, the tools. if you turn off WiFi, it still works.
most people doing "local AI on Android" are running llama.cpp in Termux. i tried that first — 2–3 tokens/sec, phone gets hot, completely unusable.
LiteRT uses the GPU + CPU together. same phone, same model, totally different experience.
wrote a full breakdown of how i set this up — link in the comments.
