CAMEL-AI
CAMEL-AI brings together an open source community researching agents, data generation, world simulation, and task automation.

About CAMEL-AI
CAMEL-AI is a community that conducts research on AI agents and multi-agent systems, with a focus on data generation, world simulation, and task automation. Its homepage describes a research collective of more than 100 researchers and lists associated publications, including papers at NeurIPS and ICLR.
The homepage presents the CAMEL framework and related components, including Workforce for modeling agent teams, OASIS environments for agent simulations, and a CAMEL Toolkit. Developers can install the Python package with pip install camel-ai. The homepage does not state pricing, and it does not give details on licensing or on which features are available in any given setup.
Key features
- Workforce component for modeling agent roles, hierarchies, and long-horizon tasks
- CAMEL Toolkit for messaging, planning, evaluation, and observability
- OASIS environments for multi-agent social interaction simulations
- Pipelines for generating synthetic data, including chain-of-thought and self-instruct methods
- Routes from agent interaction logs into reinforcement learning and fine-tuning pipelines
- Verifiers for math, physics, and Python outputs
- Backed by a community research collective with more than 100 researchers, according to the homepage
- Lists research built on CAMEL and OASIS with open benchmarks and datasets
- Offers a published Python package that can be installed with pip
CAMEL-AI at a glance
- Official website
- camel-ai.org
- Category
- AI & Machine Learning › AI Agent Frameworks
- Type
- Community
- Platforms
- Web
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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