Jackychen-12/AI-Search
AI industry news hub that auto-aggregates high quality sources daily — fully static, zero-cost, runs on GitHub Pages
⚡ Executive Summary & Quick Facts
Authoritative SourceAI-Search is AI-Search is an open-source project written in TypeScript: AI industry news hub that auto-aggregates high quality sources daily — fully static, zero-cost, runs on GitHub Pages..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Jackychen-12/AI-Search has accumulated 116 GitHub stars and 4 forks. It is written in TypeScript, licensed under MIT, and ranks #24,841 globally. It is actively maintained with the latest commit recorded on Oct 16, 2026.”
| Repository | Jackychen-12/AI-Search ↗ |
|---|---|
| Primary Category | ai |
| Language & Stack | TypeScript |
| Software License | MIT |
| Community Traction | ★ 116 stars · ⑂ 4 forks · #24,841 globally |
| Maintenance | ● Active (Last commit: Oct 16, 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: 88/100 · Grade AYes, AI-Search is actively maintained. Continuous telemetry recorded the last code commit on Oct 16, 2026 (28 days ago). Supported by 116 stars and 4 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (28 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,688
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
AI-Search gained 10 stars in the last 30 days, about 1 a day, and now has 116. It is about 1 year old and has averaged roughly 116 stars a year. It ranks #2,688 among TypeScript repositories and #24,841 across all languages on GitHubRepo.
Trending Record
23
DAYS ON TRENDING
#15219
BEST RANK
Oct 16, 2026
FIRST APPEARANCE
Active
STATUS TODAY
AI-Search has maintained a continuous presence across global trending indexes, peaking at #15219. Below is the 30-day activity profile:
💡 Overview
AI-Search is an open-source project written in TypeScript: AI industry news hub that auto-aggregates high quality sources daily — fully static, zero-cost, runs on GitHub Pages.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, github-actions, github-pages. 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 AI-Search⚙ 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
AI-Search 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 AI-Search.
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 AI-Search using your package manager: `npm install AI-Search`
Initialize your project workspace or configuration file for AI-Search.
Import AI-Search into your codebase or invoke it directly from your terminal.
Execute your test suite or run `AI-Search --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
Jackychen-12/AI-Search is currently ranked #24,841 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #24,753 | Tsanyamra/PeelZiz | JavaScript | ★ 117 | Compare ↗ |
| #24,753 | wzk112/Bilibili-NEXT | Swift | ★ 117 | Compare ↗ |
| #24,753 | AInVFX/ainvfx-paintaplate | Python | ★ 117 | Compare ↗ |
| #24,753 | ArcheOne-AI/RoboScript | Python | ★ 117 | Compare ↗ |
| #24,753 | MZULALI/xj-scanner | Python | ★ 117 | Compare ↗ |
| #24,841 | Jackychen-12/AI-Search This Project | TypeScript | ★ 116 | |
| #24,841 | defunkt/acts_as_textiled | Ruby | ★ 116 | Compare ↗ |
| #24,841 | fasterthanlime/jooc-legacy | Java | ★ 116 | Compare ↗ |
| #24,841 | jamesgolick/observational | Ruby | ★ 116 | Compare ↗ |
| #24,841 | montylounge/django-sugar | Python | ★ 116 | Compare ↗ |
| #24,841 | lsegal/barracuda | C | ★ 116 | Compare ↗ |
Frequently Asked Questions
What does AI-Search do? +
AI industry news hub that auto-aggregates high quality sources daily — fully static, zero-cost, runs on GitHub Pages
Is AI-Search actively maintained in 2026? +
Yes, AI-Search is actively maintained. The latest code push was recorded on Oct 16, 2026 (28 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 116 stars and 2 open issues.
What language is AI-Search written in? +
The primary language is TypeScript. Topics include: ai, github-actions, github-pages, news-aggregator, nextjs.
How many stars does AI-Search have? +
AI-Search has 116 stars and 4 forks on GitHub.
How does AI-Search rank among GitHub repositories? +
With 116 stars, Jackychen-12/AI-Search is ranked #24,841 globally across all repositories tracked on GitHubRepo and #2,688 among TypeScript projects.
What license is AI-Search distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
