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omnisim
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omnisim

Active·★ 190·Apache-2.0·Updated 2026-10-21

OmniSim is a conversational simulator where AI agents can build scenes and wire controllers based on natural language descriptions, all running over a simple HTTP/JSON protocol. It integrates a Newton physics engine and supports various robotic platforms, serving as a powerful tool for agent development and robotics research.

#Simulator#Robotics#Physics Engine#AI Agents#Reinforcement Learning#HTTP/JSON API#ROS 2 Integration
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Guides
#Real-time Simulation
$ Install
$ git clone https://github.com/omnilink-tech/omnisim.git && cd omnisim && bash scripts/install/linux_bootstrap.sh && python -m omnisim doctor
↗ Visit site★ GitHub
01

Features

01Agent-native Interaction: AI agents can build scenes and wire controllers through natural language descriptions via a first-party HTTP/JSON API and MCP server.
02Advanced Physics Simulation: Leverages the Newton physics engine, including GPU physics (MuJoCo Warp), cloth, and soft body dynamics, for realistic and performant simulations.
03High Performance & Low Resource Footprint: Delivers high environmental steps per second with optional CPU-only physics, and a notably smaller installed size compared to alternative simulators.
04Extensive Robot Library & Demos: Features a wide array of simulated robots from leading brands (e.g., Unitree, Clearpath, Universal Robots) and a rich catalogue of demos for diverse tasks.
02

Compatibility

Python
Runtime
Verified via docs
Windows
Operating System
Verified via docs
Linux
Operating System
Verified via docs
ROS 2
Robotics Framework
Verified via docs
HTTP/JSON
API Protocol
Verified via docs
03

Quick start

1
$ git clone https://github.com/omnilink-tech/omnisim.git
2
$ cd omnisim
3
$ bash scripts/install/linux_bootstrap.sh
4
$ python -m omnisim doctor
04

Use cases

↳AI Agent Development: Develop and test AI coding agents and MCP clients that interact with and control simulated environments.
↳Robotics Research & Prototyping: Simulate robotic systems for research tasks, validate URDF/STEP workflows, and prototype new robot designs.
↳Reinforcement Learning Training: Train legged locomotion policies and other robot behaviors efficiently using in-engine PPO and the Shadowing method.
↳ROS 2 Integration Testing: Develop and test ROS 2 control systems and navigation stacks (e.g., `ros2_control`, Nav2) with various simulated robots.
05

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omnilink-tech /
omnisim
↗

Open-source robotics simulator for coding agents: HTTP/JSON + MCP control, Newton physics, wgpu rendering, ROS 2, and reproducible benchmarks.

190Apache-2.0
Last commit2d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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