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.
⚡ Executive Summary & Quick Facts
Authoritative Sourcedeep-research is 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..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), dzhng/deep-research has accumulated 19,862 GitHub stars and 2,009 forks. It is written in TypeScript, licensed under MIT, and ranks #859 globally. It is actively maintained with the latest commit recorded on Apr 11, 2026.”
| Repository | dzhng/deep-research ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | TypeScript |
| Software License | MIT |
| Community Traction | ★ 19.9K stars · ⑂ 2K forks · #859 globally |
| Maintenance | ● Active (Last commit: Apr 11, 2026) · 96 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: 78/100 · Grade BNote: deep-research displays slower maintenance activity. Continuous telemetry recorded the last code commit on Apr 11, 2026 (215 days ago). Supported by 19,862 stars and 2,009 community forks, this repository holds a calculated health index of 78/100, reflecting low frequency (215 days since last push) and healthy issue cadence.
Star History
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+115
STARS · LAST 30 DAYS
4
PER DAY
#180
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +115 | +360 |
| Per day | 1 | 4 | 4 |
| Forks gained | +0 | +8 | +100 |
deep-research gained 115 stars in the last 30 days, about 4 a day, and now has 19.9K. It is about 2 years old and has averaged roughly 9.9K stars a year. It ranks #180 among TypeScript repositories and #859 across all languages on GitHubRepo.
Trending Record
45
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 #859 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #859 | dzhng/deep-research This Project | TypeScript | ★ 19.9K | |
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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.
Is deep-research actively maintained in 2026? +
Note: deep-research exhibits slower recent commit activity. The latest code push was recorded on Apr 11, 2026 (215 days ago). It holds a calculated Maintenance Health Score of 78/100 (B rating) with 19,862 stars and 96 open issues.
What language is deep-research written in? +
The primary language is TypeScript. Topics include: agent, ai, gpt, o3-mini, research.
How many stars does deep-research have? +
deep-research has 19,862 stars and 2,009 forks on GitHub.
How does deep-research rank among GitHub repositories? +
With 19,862 stars, dzhng/deep-research is ranked #859 globally across all repositories tracked on GitHubRepo and #180 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.
