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oasis

camel-ai/oasis

OASIS: Open Agent Social Interaction Simulations with One Million Agents

GraphCanon updated 3d · GitHub synced 3d · 25 views this month

5.0k stars618 forksLast push 6d Python Apache-2.0

Decision brief

OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP.

Good fit when

  • When modeling complex interactions among millions of agents is necessary
  • For deep integration with existing OpenAI models due to its streamlined setup

Avoid when

  • If you require customization beyond what LLMs and NLP provide within the framework
  • In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (2d since push)
As of 3d
Provenance
Not a fork · Organization account
As of 3d
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for CAMEL-AI. Display-only - separate from trust and ranking.

Company
camel-ai.org·GitHub org profile·1mo
Commercial model
Pure OSS·GitHub org profile (public repos)·1mo

Install

pip install oasis
PyPI

How it fits your stack(9)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A framework for simulating large-scale AI societies and interactions among millions of agents using deep learning, LLMs, and NLP.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Aug 17, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

OpenAI APIOpenAI API

Source: README excerpt (regex_v1, Aug 17, 2026)

2. **Set up your OpenAI API key:**
Source link
Python runtimePython

Source: README excerpt (regex_v1, Aug 17, 2026)

pip install camel-oasis
Source link

Tags

README

⚙️ Quick Start

  1. Install the OASIS package:

Installing OASIS is a breeze thanks to its availability on PyPI. Simply open your terminal and run:

pip install camel-oasis
  1. Set up your OpenAI API key:

---

## 🖺 License

The source code is licensed under Apache 2.0.

[discord-image]: https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb
[discord-url]: https://discord.camel-ai.org/
[docs-image]: https://img.shields.io/badge/Documentation-EB3ECC
[docs-url]: https://docs.oasis.camel-ai.org/
[huggingface-image]: https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-CAMEL--AI-ffc107?color=ffc107&logoColor=white
[huggingface-url]: https://huggingface.co/camel-ai
[oasis-image]: https://img.shields.io/badge/WeChat-OASISProject-brightgreen?logo=wechat&logoColor=white
[oasis-url]: ./assets/wechatgroup.png
[package-license-image]: https://img.shields.io/badge/License-Apache_2.0-blue.svg
[package-license-url]: https://github.com/camel-ai/oasis/blob/main/licenses/LICENSE
[reddit-image]: https://img.shields.io/reddit/subreddit-subscribers/CamelAI?style=plastic&logo=reddit&label=r%2FCAMEL&labelColor=white
[reddit-url]: https://www.reddit.com/r/CamelAI/
[star-image]: https://img.shields.io/github/stars/camel-ai/oasis?label=stars&logo=github&color=brightgreen
[star-url]: https://github.com/camel-ai/oasis/stargazers
[wechat-image]: https://img.shields.io/badge/WeChat-CamelAIOrg-brightgreen?logo=wechat&logoColor=white
[wechat-url]: ./assets/wechat.JPGwechat.jpg
[x-image]: https://img.shields.io/twitter/follow/CamelAIOrg?style=social
[x-url]: https://x.com/CamelAIOrg

For agents

This page has a .md twin and JSON over the API.

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