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Open-source deep research agent by Alibaba for scholarly research
Passed 22 of 23 test cases with the skill, and 8 of 23 without it.
and 21 more in the full report
14 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What commands create a clean Anaconda environment with Python 3.10 named deepresearch and install the necessary package requirements for the Tongyi agent?
| Checked | Without skill | With skill |
|---|---|---|
| Uses conda create -n deepresearch python=3.10 to create the environment. | Passed | Passed |
| Installs dependencies using pip install -r requirements.txt. | Missed | Passed |
The instructions your model reads when the skill loads.
Tongyi DeepResearch is an open-source deep research agent developed by Alibaba's NLP team, with over 18,000 stars on GitHub. It implements an agentic research pipeline that iteratively searches, reads, reasons, and synthesizes information to produce comprehensive research reports. The system is designed to handle complex, multi-faceted research questions that require gathering evidence from multiple sources and reasoning across diverse information.
Unlike simpler RAG (Retrieval-Augmented Generation) systems that perform a single search-and-answer cycle, DeepResearch uses an iterative approach where the agent dynamically decides what to search next based on what it has already found. This makes it particularly effective for research questions that require building up understanding incrementally, following citation chains, or exploring multiple angles of a topic.
The project is notable for being one of the leading open-source alternatives to proprietary deep research tools. It supports multiple LLM backends, various search APIs, and can be customized for domain-specific research needs. For academic researchers, it offers a transparent and modifiable research pipeline where every step can be inspected, reproduced, and adapted.
# Clone the repository
git clone https://github.com/Alibaba-NLP/DeepResearch.git
cd DeepResearch
# Install dependencies
pip install -r requirements.txt
# Or install with conda
conda create -n deepresearch python=3.10
conda activate deepresearch
pip install -r requirements.txt
Configure your environment for the LLM and search backends:
# LLM configuration (supports multiple providers)
export LLM_API_KEY=$LLM_API_KEY
export LLM_BASE_URL=$LLM_BASE_URL
export LLM_MODEL=qwen-max
# Search API configuration
export SEARCH_API_KEY=$SEARCH_API_KEY
export SEARCH_ENGINE=bing # or google, serper, tavily
For a fully local deployment with Ollama:
test cases passed, vs 8 / 23 without
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