💻 programming

Open-source DeepResearch

An open source deep research tool that aims to reproduce Deep Research-like functions through an open source framework.

#Artificial Intelligence
#Open source
#information retrieval
#multi-step reasoning
#agent framework
#community contribution
Open-source DeepResearch

Product Details

Open-source DeepResearch is an open source project that aims to reproduce functions similar to OpenAI Deep Research through open source frameworks and tools. The project is based on the Hugging Face platform and utilizes open source large language models (LLM) and agent frameworks to achieve complex multi-step reasoning and information retrieval through code agents and tool calls. Its main advantages are that it is open source, highly customizable, and able to leverage the power of the community for continuous improvement. The goal of the project is to enable everyone to run intelligent agents like DeepResearch locally, using their favorite models, fully localized and customizable.

Main Features

1
Use code proxies to express complex actions and improve performance and efficiency
2
Implement multi-step reasoning and information retrieval similar to Deep Research through open source frameworks
3
Supports multiple open source large language models (LLM)
4
Provides a simple text browser and text inspection tool
5
Supports multi-modal tasks and can process non-text information such as images
6
Continuous optimization and improvement through community contributions and open source model
7
Provide real-time demos and open source code to facilitate user testing and development

How to Use

1
1. Visit Hugging Face official website and register an account
2
2. Clone Open-source DeepResearch’s open source code locally
3
3. Install required dependent libraries and tools
4
4. Configure an open source large language model (LLM)
5
5. Use code agents to write task logic and define multi-step operations
6
6. Debugging and optimizing the code to ensure that the agent can perform tasks correctly
7
7. Run the agent system locally to test its performance and functionality
8
8. Customize the system and expand its functions as needed

Target Users

This product is suitable for researchers, developers and enterprises, especially those who want to use open source technology to build intelligent agent systems. It provides users with a customizable framework that can be adjusted and optimized according to specific needs, while leveraging the power of the open source community to continuously improve and expand functionality.

Examples

Researchers can use this framework to conduct academic research and quickly obtain and organize large amounts of literature.

Developers can develop customized intelligent agent applications based on this framework for information processing in specific fields.

Enterprises can apply it to internal knowledge management to quickly retrieve and summarize internal enterprise documents and data.

Quick Access

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Categories

💻 programming
› Development and Tools
› research tools

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