GraphCanon updated 3d · GitHub synced 3d · 25 views this month
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 PyPIHow it fits your stack(9)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
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.
Source: README excerpt (regex_v1, Aug 17, 2026)
2. **Set up your OpenAI API key:**Source link
Source: README excerpt (regex_v1, Aug 17, 2026)
pip install camel-oasisSource link
Tags
README
⚙️ Quick Start
- 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
- 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.