Alibaba-NLP/DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Star History
Momentum
+500
STARS · LAST 30 DAYS
17
PER DAY
#84
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +119 | +500 | +1.5K |
| Per day | 17 | 17 | 17 |
| Forks gained | +8 | +31 | +76 |
DeepResearch gained 500 stars in the last 30 days, about 17 a day, and now has 20K. It is about 2 years old and has averaged roughly 10K stars a year. It ranks #84 among Python repositories and #435 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#244
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DeepResearch has maintained a continuous presence across global trending indexes, peaking at #244. Below is the 30-day activity profile:
💡 Overview
DeepResearch is an open-source project written in Python: Tongyi Deep Research, the Leading Open-source Deep Research Agent.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, alibaba, artificial-intelligence. 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 Python 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
$ pip install DeepResearch⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
DeepResearch coordinates its core functionality through a modular Python 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 DeepResearch.
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 DeepResearch using your package manager: `pip install DeepResearch`
Initialize your project workspace or configuration file for DeepResearch.
Import DeepResearch into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DeepResearch --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Alibaba-NLP/DeepResearch is currently ranked #435 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #430 | sebastianbergmann/phpunit | PHP | ★ 20.1K | Compare ↗ |
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| #434 | 0x192/universal-android-debloater | Rust | ★ 20K | Compare ↗ |
| #435 | Alibaba-NLP/DeepResearch This Project | Python | ★ 20K | |
| #436 | tipsy/profile-summary-for-github | Vue | ★ 19.9K | Compare ↗ |
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Frequently Asked Questions
What does DeepResearch do? +
Tongyi Deep Research, the Leading Open-source Deep Research Agent
What language is DeepResearch written in? +
The primary language is Python. Topics include: agent, alibaba, artificial-intelligence, deep-research, deepresearch.
Is DeepResearch actively maintained? +
Yes, the last recorded push was on Feb 27, 2026 with 97 open issues being tracked.
How many stars does DeepResearch have? +
DeepResearch has 19,991 stars and 1,529 forks on GitHub.
How does DeepResearch rank among GitHub repositories? +
With 19,991 stars, Alibaba-NLP/DeepResearch is ranked #435 globally across all repositories tracked on GitHubRepo and #84 among Python projects.
What license is DeepResearch distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
