av/awesome-llm-services
A list of self-hostable LLM services
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#950
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
awesome-llm-services gained 10 stars in the last 30 days, about 1 a day, and now has 264. It is about 1 year old and has averaged roughly 264 stars a year. It ranks #950 among TypeScript repositories and #8,611 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#7515
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-llm-services has maintained a continuous presence across global trending indexes, peaking at #7515. Below is the 30-day activity profile:
💡 Overview
awesome-llm-services is an open-source project written in TypeScript: A list of self-hostable LLM services.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, awesome, awesome-list. 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 TypeScript 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
$ npm install awesome-llm-services⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-llm-services coordinates its core functionality through a modular TypeScript 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 awesome-llm-services.
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 awesome-llm-services using your package manager: `npm install awesome-llm-services`
Initialize your project workspace or configuration file for awesome-llm-services.
Import awesome-llm-services into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-llm-services --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
av/awesome-llm-services is currently ranked #8,611 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,599 | lepton-eda/lepton-eda | C | ★ 265 | Compare ↗ |
| #8,599 | dbrady/tourbus | Ruby | ★ 265 | Compare ↗ |
| #8,599 | pullmonkey/open_flash_chart | Ruby | ★ 265 | Compare ↗ |
| #8,599 | intent-hq/intent | JavaScript | ★ 265 | Compare ↗ |
| #8,599 | benbalter/word-to-markdown-js | TypeScript | ★ 265 | Compare ↗ |
| #8,611 | av/awesome-llm-services This Project | TypeScript | ★ 264 | |
| #8,611 | DIGI-UW/OpenELIS-Global-2 | Java | ★ 264 | Compare ↗ |
| #8,611 | technoweenie/permalink_fu | Ruby | ★ 264 | Compare ↗ |
| #8,611 | savonrb/nori | Ruby | ★ 264 | Compare ↗ |
| #8,611 | reactiveui/punchclock | C# | ★ 264 | Compare ↗ |
| #8,611 | sosy-lab/cpachecker | Java | ★ 264 | Compare ↗ |
Frequently Asked Questions
What does awesome-llm-services do? +
A list of self-hostable LLM services
What language is awesome-llm-services written in? +
The primary language is TypeScript. Topics include: ai, awesome, awesome-list, docker, llm.
Is awesome-llm-services actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 10 open issues being tracked.
How many stars does awesome-llm-services have? +
awesome-llm-services has 264 stars and 23 forks on GitHub.
How does awesome-llm-services rank among GitHub repositories? +
With 264 stars, av/awesome-llm-services is ranked #8,611 globally across all repositories tracked on GitHubRepo and #950 among TypeScript projects.
What license is awesome-llm-services distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
