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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 necessary dependencies, configure your environment, and run the project either through a console UI or a web UI.
Key features of DeerFlow?
- Integration with multiple language models and search engines.
- Human-in-the-loop mechanism 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 comprehensive research reports on various topics.
- Generating podcasts based on research findings.
- Collaborating on research plans with real-time feedback.
FAQ from DeerFlow?
- Can DeerFlow integrate with any language model?
Yes! DeerFlow supports integration with various language models through its modular architecture.
- Is there a web interface available?
Yes! DeerFlow includes a web UI for a more interactive experience.
- How can I contribute to DeerFlow?
Contributions are welcome! You can participate by submitting issues, pull requests, or suggestions on GitHub.
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