CAMEL-AI
Open-source community for building multi-agent systems
Quick Answer
AICAMEL-AI is an open-source, modular framework for building intelligent multi-agent systems. It provides primitives to create agents, compose societies, and integrate interpreters for code execution. The framework is built on state-of-the-art research and offers a comprehensive toolkit for messaging, planning, evaluation, and observability. It is open-source and free to use.
CAMEL-AI is an open-source, modular framework for building intelligent multi-agent systems. It provides primitives to create agents, compose societies, and integrate interpreters for code execution. The framework supports data generation, world simulation, and task automation. It is free to use and open-source.
CAMEL-AI is the first LLM multi-agent framework, offering a modular design for building data-driven, stateful, and scalable multi-agent systems with features like Evolvability, Scalability, Statefulness, and Code-as-prompt.
Decision Intelligence
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Yes
Dimension Scores
· 5.7 avgHow good it is, across universal quality axes
Task Scores
· 7.6 avgWhat it can do, per category it works in · showing 10 of 10 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Complexity
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The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Flexible integration with OpenAI models
Flexible integration with Mistral models
Flexible integration with Gemini models
Flexible integration with Llama models
Flexible integration with Nebius models
Integration with Anthropic models
Integration with Cohere models
Integration with DeepSeek models
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Trust Score
Good
Based on 6 data signals
Confidence: High
Reflects publicly available data, not an independent audit
No published data
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Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: Best For, Description, Limitations, Quick Answer, What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Switching & Migration
Monthly download counts from npm and PyPI (PyPI data under CC BY 4.0).
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Platform, Content & Languages4 content types1 languagesTextCodeDocumentEnglish+18 more
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Frequently Asked Questions
What can CAMEL-AI do?
CAMEL-AI can: Multi-agent system building, Data generation at scale, World simulation, Task automation. Best for: Researchers exploring multi-agent systems and scaling laws.
How much does CAMEL-AI cost?
CAMEL-AI is open source and free to self-host. Cloud hosting options may have separate pricing.
Is CAMEL-AI free?
Yes, CAMEL-AI is open source and free to self-host. Managed hosting may carry separate costs.
What makes CAMEL-AI unique?
CAMEL-AI is the first LLM multi-agent framework, offering a modular design for building data-driven, stateful, and scalable multi-agent systems with features like Evolvability, Scalability, Statefulness, and Code-as-prompt.
Does CAMEL-AI have an API?
Yes, CAMEL-AI offers a public API for developers to integrate its capabilities into custom applications and workflows.
What platforms does CAMEL-AI support?
CAMEL-AI is available on API and CLI.
What languages does CAMEL-AI support?
CAMEL-AI supports English.
Does CAMEL-AI work offline?
Yes, CAMEL-AI supports offline use — you can run it without an active internet connection.
Who is CAMEL-AI for?
CAMEL-AI is designed for Researchers exploring multi-agent systems and scaling laws; Developers building intelligent multi-agent applications; Teams needing synthetic data generation for training.