
CAMEL-AI.org
Open-source community discovering scaling laws of intelligent agents for data generation, world simulation, and task automation.
About
CAMEL-AI.org is an open-source community and research collective dedicated to finding the scaling laws of intelligent agents and multi-agent systems. They build data-driven, stateful, and scalable multi-agent systems for applications like data generation, world simulation, and task automation, serving researchers and developers in the field. Their framework, guided by principles of evolvability, scalability, statefulness, and code-as-prompt, aims to advance multi-agent research.
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Key facts
- Website
- camel-ai.org
- Founded
- 2023
- Employees
- 21
- Business model
- B2B
Tech stack
Detected on camel-ai.org, last scanned 7 Nov 2026. Run your own scan
- Frontend
- Next.js, Tailwind CSS
- CMS / Builders
- Ghost
- Hosting
- AWS
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CAMEL-AI.org multi-agent Workforce can now be exported as an MCP server.. This means your entire AI workforce, complete with custom agents - can now plug into any MCP-compatible client like Claude AI Desktop, Cursor , or even CLI tools.
CAMEL-AI.org Adds Support for Magistral Medium. We’re excited to share that CAMEL-AI now integrates the Magistral Medium model from Mistral AI , designed for advanced, transparent, and multilingual reasoning across enterprise domains.
CAMEL-AI.org Now Integrates with IBM Watson X!. We're exited to announce CAMEL-AI's latest enhancement: full integration with IBM Watson X's powerful AI capabilities!
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Frequently asked
Is CAMEL-AI.org trustworthy and reputable?
StartupHub's Data Trust & Reputation score for CAMEL-AI.org is 73 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How many employees does CAMEL-AI.org have?
CAMEL-AI.org has approximately 21 people on record.
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SEC filings, insider activity, nonprofit links and pay benchmarks for CAMEL-AI.org:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


