CAMEL-AI / Eigent AI
Building the world's first multi-agent framework built on large language models to enable autonomous agent collaboration and find the scaling laws of agents.
At a Glance
- AI Developers
- Data Scientists
- Enterprise Automation Teams
- Research Institutions
AI Tools by CAMEL-AI / Eigent AI
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CAMEL-AI
Open Source Multi-Agent Framework
Discussions
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Latest News
Eigent AI & Google Run Enterprise Agents with Gemini 3 Pro Integration
Featured in Infosys RAI Market Scan Report for January 2026
Guohao Li presents Scaling Law of Agents at GOSIM Paris I
CISA Vulnerability Summary: Eigent Multi-Agent Workforce Highlighted
Products & Services
An open-source, local-first cowork desktop where multiple AI agents collaborate to perform tasks like coding, browsing, and report generation.
The world's first multi-agent framework built on LLMs, enabling autonomous interaction and collaboration between customizable agents.
A novel benchmarking tool for evaluating agent performance in multi-agent environments, developed in collaboration with top universities.
Market Position
Eigent AI distinguishes itself by leveraging its foundational research in multi-agent scaling laws to provide a local-first, open-source alternative to centralized AI agents, focusing on collaborative 'workforces' rather than single assistants.
Leadership
Founders
Guohao Li
Founder of Eigent AI and creator of CAMEL-AI. Previously a Postdoctoral Researcher at the University of Oxford. PhD researcher at KAUST, with internships at Kumo.AI, Intel Labs, SenseTime, and Unisound. Visiting researcher at ETH Zürich.
Executive Team
Guohao Li
Founder / Builder
Oxford Postdoc, KAUST PhD, expert in multi-agent reinforcement learning and LLM infrastructure.
Sisi (Sally) Qu
Marketing and Operations
Previously at CAMEL-AI CRAB, based in London. Focused on community growth and operational strategy.
Board of Directors
Founding Story
CAMEL-AI started as a research project at KAUST and Oxford to explore communicative agents. Following the success of the open-source framework, Eigent AI was founded in 2024 to commercialize the technology into a 'Cowork Desktop' for multi-agent workforce automation.
Business Model
Revenue Model
SaaS Subscription (Tiered task credits) and Enterprise Licensing
Pricing Tiers
500 free credits/month, BYOK and local models, email support.
2,000 task credits/month, priority email support, everything in Free.
10,000 task credits/month, high-priority support, everything in Plus.
Local deployment, custom agent RL environments, enterprise security, and dedicated support.
Target Markets
- AI Developers
- Data Scientists
- Enterprise Automation Teams
- Research Institutions
- Synthetic data generation
- Automated software engineering
- Market research automation
- Enterprise workflow orchestration
- World simulation for RL training
- PaddlePaddle
- Infosys