Openmind OM1: an AI-native runtime for cross-hardware robot agents
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OM1 aims to replace per-robot custom integration with a reusable runtime where an agent is defined once and hardware or middleware connectors are swapped via plugins. Supports ROS 2, Zenoh and CycloneDDS.
Key claims
Modular Python inputs, actions and modules wired by config
Docs cover Unitree Go2 and G1
Connects to multiple LLM and VLM endpoints
Openmind: what OM1 is trying to replace
Robotics software today is usually a pile of vendor SDKs + custom glue code + one-off “agent” logic per robot. The same behavior (voice, navigation, perception, tool use) gets rebuilt for every platform because the interfaces, message buses, and deployment model differ.
OM1 is trying to replace that “custom integration per robot” pattern with a reusable, AI-native runtime where you define an agent once and then swap the hardware/middleware connectors via plugins, creating OS for robotics.
In @openmind_agi’s own docs, OM1 is positioned as a runtime that can deploy the same AI persona in both digital and physical environments and connect it to LLM/VLM endpoints plus robot hardware.
OM1 centers around:
➤ Modular Python components (inputs/actions/modules) and a config-driven way to wire them into an agent
➤ Pluggable hardware/middleware connectors (e.g., to ROS 2 / Zenoh / CycloneDDS - yeah, it supports standard middleware so in practice it standardize the “agent layer” and integration patterns)
➤ Preconfigured AI endpoints (multiple LLMs/VLMs, voice I/O) and a web-based debug view (“WebSim”) so you can see the loop running
➤ Guidance to run on specific robots (Unitree Go2 / G1 in the docs navigation)
As a result robotics achieve faster porting of behaviors across robots, and a more repeatable way to ship LLM/VLM-powered interaction without rebuilding scaffolding each time
Want to dive deeper?
Check the docs here:
docs.openmind.org/developing/0_introduction
And the github here:
github.com/OpenMind/OM1
QUOTING @zerokn0wledge_
𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗳𝗼𝗿 𝗥𝗼𝗯𝗼𝘁𝘀 “Android for robots” is not one magic OS that makes every robot compatible. It’s a standardized software stack where hardware differences are pushed down into a common “driver layer,” and everything above it (navigation, manipulation, perception, fleet ops) ca
𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗳𝗼𝗿 𝗥𝗼𝗯𝗼𝘁𝘀 “Android for robots” is not one magic OS that makes every robot compatible. It’s a standardized software stack where hardware differences are pushed down into a common “driver layer,” and everything above it (navigation, manipulation, perception, fleet ops) ca
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