langchain/docs/use_cases/agent_simulations.md

# Agent Simulations

Agent simulations involve interacting one of more agents with eachother.
Agent simulations generally involve two main components:

- Long Term Memory
- Simulation Environment

Specific implementations of agent simulations (or parts of agent simulations) include

## CAMEL
- [CAMEL](agent_simulations/camel_role_playing.ipynb): an implementation of the CAMEL (Communicative Agents for “Mind” Exploration of Large Scale Language Model Society) paper, where two agents communicate with eachother.

## Generative Agents
- [Generative Agents](agent_simulations/characters.ipynb): This notebook implements a generative agent based on the paper [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442) by Park, et. al.
Agents 4 18 (#3122) Creating an experimental agents folder, containing BabyAGI, AutoGPT, and later, other examples --------- Co-authored-by: Rahul Behal <rahulbehal01@hotmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> 1 year ago			`# Agent Simulations`

			`Agent simulations involve interacting one of more agents with eachother.`
			`Agent simulations generally involve two main components:`

			`- Long Term Memory`
			`- Simulation Environment`

			`Specific implementations of agent simulations (or parts of agent simulations) include`

			`## CAMEL`
			`- [CAMEL](agent_simulations/camel_role_playing.ipynb): an implementation of the CAMEL (Communicative Agents for “Mind” Exploration of Large Scale Language Model Society) paper, where two agents communicate with eachother.`

			`## Generative Agents`
			`- [Generative Agents](agent_simulations/characters.ipynb): This notebook implements a generative agent based on the paper [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442) by Park, et. al.`