basellm/llm-metadata
A lightweight interface for accessing and integrating LLM metadata, enabling applications to seamlessly discover, query, and integrate large language model information.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,026
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 |
llm-metadata gained 10 stars in the last 30 days, about 1 a day, and now has 146. It is about 1 year old and has averaged roughly 146 stars a year. It ranks #1,026 among TypeScript repositories and #9,736 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#8862
BEST RANK
Oct 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
llm-metadata has maintained a continuous presence across global trending indexes, peaking at #8862. Below is the 30-day activity profile:
💡 Overview
llm-metadata is an open-source project written in TypeScript: A lightweight interface for accessing and integrating LLM metadata, enabling applications to seamlessly discover, query, and integrate large language model information.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-data, ai-gateway, ai-models. 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 llm-metadata⚙ 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
llm-metadata 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 llm-metadata.
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 llm-metadata using your package manager: `npm install llm-metadata`
Initialize your project workspace or configuration file for llm-metadata.
Import llm-metadata into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llm-metadata --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
basellm/llm-metadata is currently ranked #9,736 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #9,713 | glenngillen/semantic_form_builder | Ruby | ★ 147 | Compare ↗ |
| #9,713 | jztan/pdf-mcp | Python | ★ 147 | Compare ↗ |
| #9,713 | mimir/mimir | C++ | ★ 147 | Compare ↗ |
| #9,713 | suncityldp/zx-bench | TypeScript | ★ 147 | Compare ↗ |
| #9,713 | acatovic/ai-game-studio | TypeScript | ★ 147 | Compare ↗ |
| #9,736 | basellm/llm-metadata This Project | TypeScript | ★ 146 | |
| #9,736 | amponce/archive-movie-browser | JavaScript | ★ 146 | Compare ↗ |
| #9,736 | acrosa/scala-redis | Scala | ★ 146 | Compare ↗ |
| #9,736 | HashNuke/Python-Arduino-Prototyping-API | Python | ★ 146 | Compare ↗ |
| #9,736 | CatoTH/antragsgruen | PHP | ★ 146 | Compare ↗ |
| #9,736 | libapps/libapps-mirror | JavaScript | ★ 146 | Compare ↗ |
Frequently Asked Questions
What does llm-metadata do? +
A lightweight interface for accessing and integrating LLM metadata, enabling applications to seamlessly discover, query, and integrate large language model information.
What language is llm-metadata written in? +
The primary language is TypeScript. Topics include: ai-data, ai-gateway, ai-models, llm-data, llm-meta.
Is llm-metadata actively maintained? +
Yes, the last recorded push was on Oct 2, 2026 with 1 open issues being tracked.
How many stars does llm-metadata have? +
llm-metadata has 146 stars and 22 forks on GitHub.
How does llm-metadata rank among GitHub repositories? +
With 146 stars, basellm/llm-metadata is ranked #9,736 globally across all repositories tracked on GitHubRepo and #1,026 among TypeScript projects.
What license is llm-metadata distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
