smg-project/smg
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.
⚡ Executive Summary & Quick Facts
Authoritative Sourcesmg is smg is an open-source project written in Rust: Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), smg-project/smg has accumulated 699 GitHub stars and 205 forks. It is written in Rust, licensed under Apache-2.0, and ranks #10,464 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
| Repository | smg-project/smg ↗ |
|---|---|
| Primary Category | anthropic |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | ★ 699 stars · ⑂ 205 forks · #10,464 globally |
| Maintenance | ● Active (Last commit: Nov 4, 2026) · 192 open issues |
| Replaces SaaS | Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) → |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, smg is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (9 days ago). Supported by 699 stars and 205 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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+148
STARS · LAST 30 DAYS
5
PER DAY
#1,011
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +148 | +450 |
| Per day | 1 | 5 | 5 |
| Forks gained | +0 | +29 | +10 |
smg gained 148 stars in the last 30 days, about 5 a day, and now has 699. It is about 1 year old and has averaged roughly 699 stars a year. It ranks #1,011 among Rust repositories and #10,464 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#743
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
smg has maintained a continuous presence across global trending indexes, peaking at #743. Below is the 30-day activity profile:
💡 Overview
smg is an open-source project written in Rust: Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.
Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic, anthropic-api, chat. 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 Rust 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
$ cargo install smg⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
smg coordinates its core functionality through a modular Rust 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 smg.
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 smg using your package manager: `cargo install smg`
Initialize your project workspace or configuration file for smg.
Import smg into your codebase or invoke it directly from your terminal.
Execute your test suite or run `smg --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
smg-project/smg is currently ranked #10,464 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,456 | SwiftPackageIndex/SwiftPackageIndex-Server | Swift | ★ 700 | Compare ↗ |
| #10,456 | Reaparr/Reaparr | C# | ★ 700 | Compare ↗ |
| #10,456 | nextcloud/recognize | PHP | ★ 700 | Compare ↗ |
| #10,456 | PCGEx/PCGExtendedToolkit | C++ | ★ 700 | Compare ↗ |
| #10,456 | sanidhyy/duolingo-clone | TypeScript | ★ 700 | Compare ↗ |
| #10,464 | smg-project/smg This Project | Rust | ★ 699 | |
| #10,464 | spatie/phpunit-snapshot-assertions | PHP | ★ 699 | Compare ↗ |
| #10,464 | Azure/azure-storage-azcopy | Go | ★ 699 | Compare ↗ |
| #10,464 | nicklockwood/Euclid | Swift | ★ 699 | Compare ↗ |
| #10,464 | chainguard-images/images | HCL | ★ 699 | Compare ↗ |
| #10,469 | tonioni/WinUAE | C++ | ★ 698 | Compare ↗ |
Frequently Asked Questions
What does smg do? +
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.
Is smg actively maintained in 2026? +
Yes, smg is actively maintained. The latest code push was recorded on Nov 4, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 699 stars and 192 open issues.
What language is smg written in? +
The primary language is Rust. Topics include: anthropic, anthropic-api, chat, claude, gemini.
How many stars does smg have? +
smg has 699 stars and 205 forks on GitHub.
How does smg rank among GitHub repositories? +
With 699 stars, smg-project/smg is ranked #10,464 globally across all repositories tracked on GitHubRepo and #1,011 among Rust projects.
What license is smg distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
