RunanywhereAI/trnrt
The open LLM inference engine for AWS Trainium: NKI megakernels, 1M-token context, OpenAI-compatible API. By RunAnywhere.
⚡ Executive Summary & Quick Facts
Authoritative Sourcetrnrt is trnrt is an open-source project written in Python: The open LLM inference engine for AWS Trainium: NKI megakernels, 1M-token context, OpenAI-compatible API. By RunAnywhere..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), RunanywhereAI/trnrt has accumulated 1,446 GitHub stars and 14 forks. It is written in Python, licensed under Apache-2.0, and ranks #6,890 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | RunanywhereAI/trnrt ↗ |
|---|---|
| Primary Category | aws |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.4K stars · ⑂ 14 forks · #6,890 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 11 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, trnrt is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 1,446 stars and 14 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+36
STARS · LAST 30 DAYS
1
PER DAY
#1,009
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +36 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
trnrt gained 36 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 1 year old and has averaged roughly 1.4K stars a year. It ranks #1,009 among Python repositories and #6,890 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#498
BEST RANK
Nov 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
trnrt has maintained a continuous presence across global trending indexes, peaking at #498. Below is the 30-day activity profile:
💡 Overview
trnrt is an open-source project written in Python: The open LLM inference engine for AWS Trainium: NKI megakernels, 1M-token context, OpenAI-compatible API. By RunAnywhere.
Engineered for speed, consistency, and developer ease, it solves common hurdles in aws, glm, inference. 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 trnrt⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
trnrt 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 trnrt.
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 trnrt using your package manager: `pip install trnrt`
Initialize your project workspace or configuration file for trnrt.
Import trnrt into your codebase or invoke it directly from your terminal.
Execute your test suite or run `trnrt --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
RunanywhereAI/trnrt is currently ranked #6,890 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,882 | HexRaysSA/ida-mcp | Python | ★ 1.4K | Compare ↗ |
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| #6,889 | microsoft/fluentui-react-native | TypeScript | ★ 1.4K | Compare ↗ |
| #6,890 | RunanywhereAI/trnrt This Project | Python | ★ 1.4K | |
| #6,890 | jmesnil/stomp-websocket | JavaScript | ★ 1.4K | Compare ↗ |
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Frequently Asked Questions
What does trnrt do? +
The open LLM inference engine for AWS Trainium: NKI megakernels, 1M-token context, OpenAI-compatible API. By RunAnywhere.
Is trnrt actively maintained in 2026? +
Yes, trnrt is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,446 stars and 11 open issues.
What language is trnrt written in? +
The primary language is Python. Topics include: aws, glm, inference, llm, llm-serving.
How many stars does trnrt have? +
trnrt has 1,446 stars and 14 forks on GitHub.
How does trnrt rank among GitHub repositories? +
With 1,446 stars, RunanywhereAI/trnrt is ranked #6,890 globally across all repositories tracked on GitHubRepo and #1,009 among Python projects.
What license is trnrt distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
