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Overview
what is DeerFlow?
DeerFlow is a community-driven Deep Research framework that integrates language models with specialized tools for tasks like web search, crawling, and Python code execution, aimed at enhancing research efficiency.
how to use DeerFlow?
To use DeerFlow, clone the repository from GitHub, install the required dependencies, configure your environment, and run the project either through a console UI or a web UI.
key features of DeerFlow?
- Integration with multiple search engines for comprehensive data retrieval.
- Human-in-the-loop capabilities for interactive research planning.
- Automated report generation and content creation, including podcasts and presentations.
- Modular architecture for flexible research workflows.
use cases of DeerFlow?
- Conducting in-depth research on various topics.
- Generating comprehensive reports and presentations.
- Creating podcasts based on research findings.
- Collaborating with AI to refine research plans.
FAQ from DeerFlow?
- Is DeerFlow open source?
Yes! DeerFlow is open source and available under the MIT License.
- What programming languages does DeerFlow support?
DeerFlow is developed in Python and includes a web UI written in Node.js.
- Can I customize the research process?
Yes! DeerFlow allows for customization of research plans and supports various configurations.
Server Config
{
"mcpServers": {
"github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
cwinuxStar
-Language
-License
-Category
research-and-data
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