Swarms Sim
Description
Simulating a swarm of agents in a professional workplace environment
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Generative Agents: Interactive Simulacra of Human Behavior
This repository accompanies our research paper titled "[Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442)." It contains our core simulation module for generative agents—computational agents that simulate believable human behaviors—and their game environment. Below, we document the steps for setting up the simulation environment on your local machine and for replaying the simulation as a demo animation.
Setting Up the Environment
To set up your environment, you will need to generate a `utils.py` file that contains your OpenAI API key and download the necessary packages.
Step 1. Generate Utils File
In the `reverie/backend_server` folder (where `reverie.py` is located), create a new file titled `utils.py` and copy and paste the content below into the file:
# Copy and paste your OpenAI API Key
openai_api_key = ""
# Put your name
key_owner = ""
maze_assets_loc = "../../environment/frontend_server/static_dirs/assets"
env_matrix = f"{maze_assets_loc}/the_ville/matrix"
env_visuals = f"{maze_assets_loc}/the_ville/visuals"
fs_storage = "../../environment/frontend_server/storage"
fs_temp_storage = "../../environment/frontend_server/temp_storage"
collision_block_id = "32125"
# Verbose
debug = True
Replace `` with your OpenAI API key, and `` with your name.
Step 2. Install requirements.txt
Install everything listed in the `requirements.txt` file (I strongly recommend first setting up a virtualenv as usual). A note on Python version: we tested our environment on Python 3.9.12.
Related Skills
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src/agents/ — 11 Agent Definitions
**Generated:** 2026-04-11