Repository navigation
Installation and Quickstart
Sudhanshu edited this page Nov 11, 2026
·
1 revision
py -3.12 -m venv .venv-langgraph
.\.venv-langgraph\Scripts\python.exe -m pip install --upgrade pip
.\.venv-langgraph\Scripts\python.exe -m pip install -r requirements_langgraph_example.txt
.\.venv-langgraph\Scripts\python.exe .\langgraph_example_multi_agents.py --list
.\.venv-langgraph\Scripts\python.exe .\langgraph_example_multi_agents.py --self-testRun these from the extracted repository root. If your terminal already has a suitable Python 3.11–3.13 interpreter, adapt the virtual environment command accordingly.
python3 -m venv .venv-langgraph
source .venv-langgraph/bin/activate
python -m pip install -r requirements_langgraph_example.txt
python langgraph_example_multi_agents.py --self-testDefault topic runs require installed libraries but no OpenAI key. The --with-llm flag or one of the two model topics explicitly enables paid remote calls. No GPU is required for orchestration.
See Troubleshooting for environment and launcher errors.
Multi-Agent Workflows using LangGraph · Home · Architecture · LLD · Security. This project is licensed under the Apache License, Version 2.0.© 2026 Sudhanshu Shukla · Licensed under the Apache License, Version 2.0.
Navigation
- Home
- Installation and Quickstart
- Repository Layout
- Graph Examples
- Architecture
- Implementation
- Operations
- Design Tradeoffs
- Future Enhancements
- Changes from Upload