Built something? We create video reels & spotlights for GitHub projects.Promote your project →
engasnm111
Home / TypeScript / lnwjud

engasnm111/lnwjud

lnwjud — local AI-agent runtime & MCP gateway

TypeScript ◇ ai-agents MIT
★207STARS
⑂94FORKS
!2ISSUES
🏆#18,985GLOBAL RANK
🔥44DAYS TRENDING
🚀
Maintainer Growth Kit for lnwjud

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

lnwjud is lnwjud is an open-source project written in TypeScript: lnwjud — local AI-agent runtime & MCP gateway..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), engasnm111/lnwjud has accumulated 207 GitHub stars and 94 forks. It is written in TypeScript, licensed under MIT, and ranks #18,985 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
Repository engasnm111/lnwjud ↗
Primary Category ai agents
Language & Stack TypeScript
Software License MIT
Community Traction ★ 207 stars · ⑂ 94 forks · #18,985 globally
Maintenance ● Active (Last commit: Oct 31, 2026) · 2 open issues
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is lnwjud actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, lnwjud is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (13 days ago). Supported by 207 stars and 94 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 31, 2026
13 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
94 Forks
207 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for engasnm111/lnwjud
CSV
⭐ VIRAL README KIT & BACKLINKS

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

engasnm111/lnwjud Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/engasnm111/lnwjud.svg?theme=dark)](https://githubrepo.cloud/repo/engasnm111/lnwjud?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Live Badges Suite Shields.io Style

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/engasnm111/lnwjud.svg?metric=featured)](https://githubrepo.cloud/repo/engasnm111/lnwjud?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/engasnm111/lnwjud.svg?metric=stars)](https://githubrepo.cloud/repo/engasnm111/lnwjud?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/engasnm111/lnwjud.svg?metric=velocity)](https://githubrepo.cloud/repo/engasnm111/lnwjud?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/engasnm111/lnwjud.svg?metric=health)](https://githubrepo.cloud/repo/engasnm111/lnwjud?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/engasnm111/lnwjud.svg?metric=rank)](https://githubrepo.cloud/repo/engasnm111/lnwjud?utm_source=readme_badge)

Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#2,146

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+0+12+90
Per day111
Forks gained+0+9+10

lnwjud gained 12 stars in the last 30 days, about 1 a day, and now has 207. It is about 1 year old and has averaged roughly 207 stars a year. It ranks #2,146 among TypeScript repositories and #18,985 across all languages on GitHubRepo.

Trending Record

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

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install lnwjud using your package manager: `npm install lnwjud`

2

Initialize your project workspace or configuration file for lnwjud.

3

Import lnwjud into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `lnwjud --help` to verify successful setup.

👍 Strengths

Active community backing with 190 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

F
freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.

Compare ↗
R
morluto/rea ★ 430.5K TypeScript

Reverse engineer anything with agents, from app behavior down to native binaries.

Compare ↗
O
openclaw/openclaw ★ 394.3K TypeScript

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

Compare ↗
D
deepseek-ai/deepseek-harness ★ 267K TypeScript

DeepSeek Harness: Everything is a Plugin.

Compare ↗

👥 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 #18,985 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,938 agent0ai/spynel Go ★ 208 Compare ↗
#18,938 luobosibing2/dsh-jev-plugin JavaScript ★ 208 Compare ↗
#18,938 zoefix/agent-speed C# ★ 208 Compare ↗
#18,938 lucialuka/OpenAssembler Python ★ 208 Compare ↗
#18,938 UpperSupervisor/horizon-modpack-compatibility Rust ★ 208 Compare ↗
#18,985 engasnm111/lnwjud This Project TypeScript ★ 207
#18,985 hamedh/Radio Objective-C ★ 207 Compare ↗
#18,985 bashu/django-secretballot Python ★ 207 Compare ↗
#18,985 ask/python-github2 Python ★ 207 Compare ↗
#18,985 ryantate/rturk Ruby ★ 207 Compare ↗
#18,985 ayende/rhino-etl C# ★ 207 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does lnwjud do? +

lnwjud — local AI-agent runtime & MCP gateway

Is lnwjud actively maintained in 2026? +

Yes, lnwjud is actively maintained. The latest code push was recorded on Oct 31, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 207 stars and 2 open issues.

What language is lnwjud written in? +

The primary language is TypeScript. Topics include: ai-agents, ai-tools, automation, chatgpt, codex.

How many stars does lnwjud have? +

lnwjud has 207 stars and 94 forks on GitHub.

How does lnwjud rank among GitHub repositories? +

With 207 stars, engasnm111/lnwjud is ranked #18,985 globally across all repositories tracked on GitHubRepo and #2,146 among TypeScript projects.

What license is lnwjud distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner