engasnm111/lnwjud
lnwjud — local AI-agent runtime & MCP gateway
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#566
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 |
lnwjud gained 10 stars in the last 30 days, about 1 a day, and now has 194. It is about 1 year old and has averaged roughly 194 stars a year. It ranks #566 among TypeScript repositories and #5,244 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#674
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
lnwjud has maintained a continuous presence across global trending indexes, peaking at #674. Below is the 30-day activity profile:
💡 Overview
lnwjud is an open-source project written in TypeScript: lnwjud — local AI-agent runtime & MCP gateway.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-tools, automation. 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 lnwjud⚙ 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
lnwjud 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 lnwjud.
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 lnwjud using your package manager: `npm install lnwjud`
Initialize your project workspace or configuration file for lnwjud.
Import lnwjud into your codebase or invoke it directly from your terminal.
Execute your test suite or run `lnwjud --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
engasnm111/lnwjud is currently ranked #5,244 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,234 | buildbarn/bb-storage | Go | ★ 195 | Compare ↗ |
| #5,234 | JetBrains/pest-intellij | Kotlin | ★ 195 | Compare ↗ |
| #5,234 | GodotVR/godot_openxr_vendors | C++ | ★ 195 | Compare ↗ |
| #5,234 | nextcloud/collectives | JavaScript | ★ 195 | Compare ↗ |
| #5,234 | MiaAI-Lab/DeepSeek-v4.1-Flash-DGX-Sparks | Python | ★ 195 | Compare ↗ |
| #5,244 | engasnm111/lnwjud This Project | TypeScript | ★ 194 | |
| #5,244 | brosner/django-timezones | Python | ★ 194 | Compare ↗ |
| #5,244 | thumblemonks/smurf | Ruby | ★ 194 | Compare ↗ |
| #5,244 | oehf/ipf | Java | ★ 194 | Compare ↗ |
| #5,244 | laravelio/paste.laravel.io | PHP | ★ 194 | Compare ↗ |
| #5,244 | drupal/core | PHP | ★ 194 | Compare ↗ |
Frequently Asked Questions
What does lnwjud do? +
lnwjud — local AI-agent runtime & MCP gateway
What language is lnwjud written in? +
The primary language is TypeScript. Topics include: ai-agents, ai-tools, automation, chatgpt, codex.
Is lnwjud actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.
How many stars does lnwjud have? +
lnwjud has 194 stars and 83 forks on GitHub.
How does lnwjud rank among GitHub repositories? +
With 194 stars, engasnm111/lnwjud is ranked #5,244 globally across all repositories tracked on GitHubRepo and #566 among TypeScript projects.
What license is lnwjud distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
