npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@nahisaho/musubix-deep-research

v3.8.2

Published

Deep Research Integration - Iterative search-read-reason cycle for AI agents

Readme

@nahisaho/musubix-deep-research

Deep Research Integration for MUSUBIX - Iterative search-read-reason cycle for AI agents during requirements and design phases.

Features

  • 🔄 Iterative Research Cycle: Search → Read → Reason → Reflect loop
  • 🔍 Multi-Provider Search: Jina AI (primary), Brave (fallback 1), DuckDuckGo (fallback 2)
  • 🧠 LM API Integration: VS Code LM API (GitHub Copilot) for reasoning
  • 📚 Knowledge Accumulation: Persistent knowledge base across iterations
  • 💰 Token Budget Management: Automatic tracking and limits
  • 📊 Research Reports: Markdown/JSON formatted reports with citations

Installation

npm install @nahisaho/musubix-deep-research

Usage

CLI

# Start deep research
npx musubix deep-research "How to implement authentication in TypeScript?"

# With options
npx musubix deep-research "TypeScript decorators" \
  --max-iterations 5 \
  --token-budget 10000 \
  --output report.md

Programmatic API

import { ResearchEngine, ResearchConfig } from '@nahisaho/musubix-deep-research';

const config: ResearchConfig = {
  query: 'How to implement authentication in TypeScript?',
  maxIterations: 10,
  tokenBudget: 15000,
  providers: {
    jinaApiKey: process.env.JINA_API_KEY,
    braveApiKey: process.env.BRAVE_API_KEY,
  },
};

const engine = new ResearchEngine(config);
const report = await engine.research();

console.log(report.summary);
console.log(`Found ${report.findings.length} findings`);

Architecture

Based on Template Method Pattern (ADR-v3.4.0-001):

ResearchEngine (Template Method)
  ├─ initialize()
  ├─ while (!shouldStop())
  │   ├─ generateQuestions()  → LMReasoning
  │   ├─ search()             → SearchProviderFactory
  │   ├─ read()               → JinaProvider.read()
  │   ├─ reason()             → LMReasoning
  │   └─ logIteration()       → TrajectoryLogger
  └─ generateReport()         → ReportGenerator

Requirements

  • Node.js >= 20.0.0
  • npm >= 10.0.0
  • VS Code with GitHub Copilot (for LM API)
  • Jina AI API Key (recommended)

License

MIT

Documentation