invergent-ai/surogate
Train and serve LLMs at extreme speed and massive throughput.
Star History
Momentum
+21
STARS · LAST 30 DAYS
1
PER DAY
#217
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +21 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
surogate gained 21 stars in the last 30 days, about 1 a day, and now has 825. It is about 1 year old and has averaged roughly 825 stars a year. It ranks #217 among C++ repositories and #2,904 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#613
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
surogate has maintained a continuous presence across global trending indexes, peaking at #613. Below is the 30-day activity profile:
💡 Overview
surogate is an open-source project written in C++: Train and serve LLMs at extreme speed and massive throughput.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, deep-learning, fine-tuning. 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 C++ 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
$ git clone https://github.com/invergent-ai/surogate.git
cd surogate⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
surogate coordinates its core functionality through a modular C++ 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 surogate.
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 surogate using your package manager: `git clone https://github.com/invergent-ai/surogate.git`
Initialize your project workspace or configuration file for surogate.
Import surogate into your codebase or invoke it directly from your terminal.
Execute your test suite or run `surogate --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
invergent-ai/surogate is currently ranked #2,904 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,898 | desplega-ai/agent-swarm | TypeScript | ★ 832 | Compare ↗ |
| #2,898 | AgriciDaniel/compass | JavaScript | ★ 832 | Compare ↗ |
| #2,901 | googlefonts/fontations | Rust | ★ 831 | Compare ↗ |
| #2,901 | viktorbezdek/awesome-github-projects | Python | ★ 831 | Compare ↗ |
| #2,903 | jazzband/django-avatar | Python | ★ 827 | Compare ↗ |
| #2,904 | invergent-ai/surogate This Project | C++ | ★ 825 | |
| #2,904 | WordPress/two-factor | PHP | ★ 825 | Compare ↗ |
| #2,904 | saschagrunert/kubernix | Rust | ★ 825 | Compare ↗ |
| #2,907 | fisharebest/webtrees | PHP | ★ 824 | Compare ↗ |
| #2,907 | taiga-family/ng-web-apis | TypeScript | ★ 824 | Compare ↗ |
| #2,907 | shivammathur/homebrew-extensions | Ruby | ★ 824 | Compare ↗ |
Frequently Asked Questions
What does surogate do? +
Train and serve LLMs at extreme speed and massive throughput.
What language is surogate written in? +
The primary language is C++. Topics include: cuda, deep-learning, fine-tuning, generative-ai, llama.
Is surogate actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 14 open issues being tracked.
How many stars does surogate have? +
surogate has 825 stars and 11 forks on GitHub.
How does surogate rank among GitHub repositories? +
With 825 stars, invergent-ai/surogate is ranked #2,904 globally across all repositories tracked on GitHubRepo and #217 among C++ projects.
What license is surogate distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
