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Multi-Agent Systems

Oasis

OASIS is an open-source Python framework for simulating social-media environments with large language model agents, supporting configurable agent profiles, interaction actions and recommendation algorithms.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Oasis — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use OASIS when you need a programmable social-media simulation populated by interacting LLM agents, rather than an individual chatbot or a live social-network service.

Who it is for

  • Researchers studying social phenomena in simulated online communities
  • Developers building large-scale multi-agent interaction experiments

Documented uses

  • Model how information spreads through an online community
  • Explore polarization, herd behavior and other emergent social patterns
  • Configure agent profiles and actions for social-network simulations
  • Compare interaction patterns in simulated Reddit- or Twitter-like environments
Before you choose

Requirements & limits

The repository is public and lists the Apache-2.0 license. Its quick start uses a Python package and requires an OpenAI API key for the shown model configuration.

  • The project describes simulations of up to one million agents.
  • The documented quick start uses OpenAI through the CAMEL model interface.
  • Agent profiles and available actions are configured for the simulation.
  • The repository lists interest-based and hot-score-based recommendation algorithms.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up a Reddit agent simulation

Prepare the documented OASIS quick-start components and configure a Reddit simulation in Python.

Before you start

  • Python environment with the OASIS package installed
  • OpenAI API key
  • Agent profile JSON file, such as the linked Reddit example
  • CAMEL model interface and an OpenAI model, as shown in the example

Steps

  1. Install the package with the command below.

    Documented command
    pip install camel-oasis

  2. Set the OPENAI_API_KEY environment variable using the command appropriate to the shell.

  3. Prepare an agent profile file and place it in the local ./data/reddit folder.

  4. In Python, create the model and Reddit agent graph, define the available actions, create the OASIS environment with a database path, reset it, and step through actions.

Expected outcome

A configured Reddit simulation environment that can process manually specified actions and LLM actions and store simulation data at the chosen database path.

Guide limitations

  • The example configures an OpenAI model and requires an OpenAI API key.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
camel-ai/oasis · Official homepage title · retained in its source language
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