CAMEL-AICAMEL-AI
DocsAbout
Framework

The CAMEL Multi-Agent Framework

A comprehensive framework designed for building scalable, evolvable, and stateful multi-agent systems with code-as-prompt architecture

Evolvability

Agents can dynamically evolve their capabilities through data generation, fine-tuning, and continuous learning processes.

Scalability

From single agents to massive workforces with thousands of agents working in parallel across distributed systems.

Statefulness

Built-in memory systems including vector databases, long-term memory, and contextual state management for persistent agent behavior.

Code-as-Prompt

Define agent behaviors, tools, and interactions using clean, type-safe code rather than brittle prompt templates.

Three-Layer Architecture

Ready to Get Started?

Explore our comprehensive documentation and start building with CAMEL today.

View DocumentationView on GitHub

Finding the Scaling Laws of Agents.

Subscribe to get product updates, research highlights, and new frameworks for building your fully local AI workforce.

CAMEL-AICAMEL-AI

Building the world's first and best multi-agent framework to power autonomous, reliable AI workforces.

GitHubTwitter/XDiscordLinkedInYouTubeReddit

Product

Open Source CoworkEnvironments for Agents

Research

CAMELSETAOWLOASISCRABLOONGAGENT-TRUSTEMOS

Community

Community HubAmbassadorMCP

Framework

Information RetrievalSoftware EngineeringMultimodalEmbodied AISocial SimulationDomain-specific

Resources

BlogsDocsTech StackAboutCareersBranding

© 2026 CAMEL-AI. All rights reserved.