Agency provides a Go library for developers building applications with large language models.
Open source
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CAMEL provides a framework for building and researching systems with multiple AI agents.
About CAMEL
CAMEL is an open-source Python framework from the CAMEL-AI community for building and researching systems made up of multiple AI agents. It supports stateful agents that keep memory across multi-step interactions, dynamic communication between agents, and simulation of large agent populations, reported up to one million agents for studying emergent behaviour and scaling laws. Documented use cases include synthetic data generation, task automation and world simulation, with support for varied agent roles, tasks, models, environments and standardized benchmarks. The package is published on PyPI and installed as camel-ai; some integrations, such as web search tools, require separate optional packages.
Key features
- Builds multi-agent systems in Python with stateful agent memory
- Supports agent simulations reported up to one million agents
- Generates large-scale structured and synthetic datasets
- Documented uses include task automation and world simulation
- Supports varied agent roles, tasks, models and environments
- Standardized benchmarks for evaluating and comparing agent performance
Best for: Researchers and Python developers who want to build, simulate or study multi-agent systems.
Good for
- Open-source and community-driven, with the project describing over 100 researchers
- Covers stateful memory, benchmarking, data generation and multiple agent types
- Installs as a Python package from PyPI
Watch out for
- Pricing and licensing terms beyond the repository files are not stated
- Some integrations, such as web tools, require installing separate optional packages
- Large-scale agent counts are presented as simulation and research capabilities
CAMEL at a glance
- Website
- github.com/camel-ai/camel
- Category
- AI & Machine Learning › AI Agent Frameworks
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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CAMEL FAQ
How is CAMEL installed?
It is published on PyPI; the documented command is pip install camel-ai. Optional tool packages, such as camel-ai[web_tools], are installed separately.
What can be built with CAMEL?
The project lists data generation, task automation and world simulation as the main things you can build.
What language does CAMEL use?
It is a Python framework, installed and used as a Python package.
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