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CAMEL
Python framework for building and studying multi-agent systems, tasks, and simulated environments.
CAMEL is a research-oriented Python framework for building agents and multi-agent systems. It is used by researchers studying agent scaling behavior and by developers building autonomous agent applications and synthetic data pipelines.
| Category | Agent builders and frameworks |
| License | Apache-2.0 |
| Hosting | library for self-managed applications |
| Repository | github.com/camel-ai/camel |
| Website | www.camel-ai.org |
| Last verified | 2026-09-02 |
Documented features
- Builds autonomous agents with stateful memory for multi-step interactions
- Supports configurable agent types, roles, tasks, and model backends
- Coordinates agent societies and role-playing scenarios with dynamic communication
- Scales experiments to large numbers of agents for studying scaling behavior
- Generates synthetic data via Chain-of-Thought, self-instruction, and self-improving methods
- Provides retrieval-augmented generation (RAG) pipelines
- Integrates tools and external services into agent workflows
- Includes memory and storage mechanisms for agent state management
Feature summaries come from the project's own repository and documentation and describe the software as documented on the verification date, not an evaluation.