svd-ai-lab

svd-ai-lab / sim-cli

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sim — a CLI runtime that lets LLM agents launch, drive, and observe CAD/CAE simulators through one protocol

15
2
100% credibility
Found Apr 12, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

sim-cli provides a unified command-line interface for AI agents to launch, control, and monitor various engineering simulation tools like Fluent, COMSOL, and OpenFOAM.

How It Works

1
📰 Discover sim

You hear about sim, a helpful tool that lets smart assistants easily control your engineering simulation programs like a universal remote.

2
📥 Get sim ready

Follow the simple instructions to add sim to your computer in just a couple of minutes.

3
🔍 Spot your tools

Run a quick check to see which of your simulation programs sim recognizes on your machine.

4
🛠️ Match your setup

Pick the right preparation for your chosen program so everything works smoothly together.

5
🚀 Start your session

Launch a live connection to your simulation program, ready for step-by-step control.

6
⚙️ Drive and observe

Send simple instructions, peek inside the process, take screenshots, and adjust as needed.

🎉 Achieve great results

Your simulations run perfectly, with smart help iterating until you get exactly what you need.

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AI-Generated Review

What is sim-cli?

sim-cli is a Python CLI runtime that standardizes how LLM agents launch, drive, and inspect CAD/CAE simulators like Ansys Fluent, COMSOL, OpenFOAM, and Flotherm via a single HTTP/JSON protocol. It solves the mess of fire-and-forget scripts or solver-specific wrappers by offering persistent sessions for step-by-step control, with commands like `sim serve`, `sim connect`, `sim exec`, and `sim inspect`. Remote-friendly setup lets agents on laptops steer HPC solvers, complete with screenshots and run history in `.sim/runs/`.

Why is it gaining traction?

Unlike vendor SDKs that don't compose or share vocab, sim-cli provides one protocol and growing driver registry for CFD, multiphysics, and thermal sims, plus companion agent skills for safe driving. Developers dig the Docker-like commands (`sim ps`, `sim logs`) and profile envs that pin SDKs without conflicts. Early YouTube demos show LLM agents building Flotherm models from natural language, hooking github sim ai enthusiasts.

Who should use this?

CAE engineers automating Fluent or OpenFOAM workflows with LLMs, AI labs training agents on sim toolkit tasks like climsim or github sim racing telemetry (sim to motec). Teams bridging sim client downloads to production, avoiding sim clinic bottlenecks in clinical sims or sim clinicas fortaleza setups.

Verdict

Alpha with 15 stars and 1.0% credibility—docs are solid, but expect bugs in niche drivers. Grab it if you're prototyping LLM-driven sims; skip for mission-critical until more battle-tested.

(187 words)

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