dzhng/deep-research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Star History
Momentum
+493
STARS · LAST 30 DAYS
16
PER DAY
#85
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +112 | +493 | +1.4K |
| Per day | 16 | 16 | 16 |
| Forks gained | +10 | +40 | +100 |
deep-research gained 493 stars in the last 30 days, about 16 a day, and now has 19.7K. It is about 2 years old and has averaged roughly 9.9K stars a year. It ranks #85 among TypeScript repositories and #464 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#274
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
deep-research has maintained a continuous presence across global trending indexes, peaking at #274. Below is the 30-day activity profile:
💡 Overview
deep-research is an open-source project written in TypeScript: An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, gpt. 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 deep-research⚙ 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
deep-research 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 deep-research.
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 deep-research using your package manager: `npm install deep-research`
Initialize your project workspace or configuration file for deep-research.
Import deep-research into your codebase or invoke it directly from your terminal.
Execute your test suite or run `deep-research --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
dzhng/deep-research is currently ranked #464 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #464 | dzhng/deep-research This Project | TypeScript | ★ 19.7K | |
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Frequently Asked Questions
What does deep-research do? +
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
What language is deep-research written in? +
The primary language is TypeScript. Topics include: agent, ai, gpt, o3-mini, research.
Is deep-research actively maintained? +
Yes, the last recorded push was on Apr 11, 2026 with 93 open issues being tracked.
How many stars does deep-research have? +
deep-research has 19,734 stars and 2,000 forks on GitHub.
How does deep-research rank among GitHub repositories? +
With 19,734 stars, dzhng/deep-research is ranked #464 globally across all repositories tracked on GitHubRepo and #85 among TypeScript projects.
What license is deep-research distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
