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Download README.md from muddasser/langgraph_agent: direct link, hf CLI and curl.
- Browser
- Download file 1.11 kB
-
https://huggingface.co/spaces/muddasser/langgraph_agent/resolve/main/README.md
- Command line
-
hf download hf://spaces/muddasser/langgraph_agent/README.md
-
curl -L -o README.md https://huggingface.co/spaces/muddasser/langgraph_agent/resolve/main/README.md
1.11 kB
metadata
title: Deep Research Agents
emoji: π¬
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit
app_port: 8501
Deep Research Agents
Multi-agent deep-research pipeline β Researcher β Critic β Synthesizer β Writer β with FAISS memory across sessions.
Stack: Groq + LangGraph + FAISS + Streamlit
Files
| File | Purpose |
|---|---|
app.py |
Everything β UI, agents, memory, graph |
requirements.txt |
Python dependencies |
Dockerfile |
Hugging Face Spaces deploy |
README.md |
This file |
Local run
pip install -r requirements.txt
set GROQ_API_KEY=your_key_here
streamlit run app.py
Hugging Face deploy
- Create a Docker Space on huggingface.co/new-space
- Upload these 4 files
- Add
GROQ_API_KEYas a Repository Secret in Space settings
Environment variables
| Variable | Required | Default |
|---|---|---|
GROQ_API_KEY |
Yes | β |
GROQ_MODEL |
No | llama-3.3-70b-versatile |