From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible user experience.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,340
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
TensorRT-Model-Connect gained 10 stars in the last 30 days, about 1 a day, and now has 276. It is about 1 year old and has averaged roughly 276 stars a year. It ranks #1,340 among Python repositories and #10,608 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#10473
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
TensorRT-Model-Connect has maintained a continuous presence across global trending indexes, peaking at #10473. Below is the 30-day activity profile:
💡 Overview
TensorRT-Model-Connect is an open-source project written in Python: From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible user experience.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-native, cpp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install TensorRT-Model-Connect⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
TensorRT-Model-Connect coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with TensorRT-Model-Connect.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install TensorRT-Model-Connect using your package manager: `pip install TensorRT-Model-Connect`
Initialize your project workspace or configuration file for TensorRT-Model-Connect.
Import TensorRT-Model-Connect into your codebase or invoke it directly from your terminal.
Execute your test suite or run `TensorRT-Model-Connect --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/TensorRT-Model-Connect is currently ranked #10,608 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,595 | healkeiser/fxhoudinimcp | Python | ★ 277 | Compare ↗ |
| #10,595 | Newspicel/sdrmm | Rust | ★ 277 | Compare ↗ |
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| #10,595 | youcci/playport | Kotlin | ★ 277 | Compare ↗ |
| #10,595 | aindeev/agent-chrome-relay | Go | ★ 277 | Compare ↗ |
| #10,608 | NVIDIA/TensorRT-Model-Connect This Project | Python | ★ 276 | |
| #10,608 | drone29a/clj-oauth | Clojure | ★ 276 | Compare ↗ |
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Frequently Asked Questions
What does TensorRT-Model-Connect do? +
From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible user experience.
What language is TensorRT-Model-Connect written in? +
The primary language is Python. Topics include: ai-agents, ai-native, cpp, huggingface, inference.
Is TensorRT-Model-Connect actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 286 open issues being tracked.
How many stars does TensorRT-Model-Connect have? +
TensorRT-Model-Connect has 276 stars and 72 forks on GitHub.
How does TensorRT-Model-Connect rank among GitHub repositories? +
With 276 stars, NVIDIA/TensorRT-Model-Connect is ranked #10,608 globally across all repositories tracked on GitHubRepo and #1,340 among Python projects.
What license is TensorRT-Model-Connect distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
