Run This Ai
EN DE

Camel-AI

The first and best multi-agent framework for finding the scaling laws of agents

★ 17,287 GitHub Apache-2.0 multi-agentagentsframeworkpythonllm KI-Agenten

Überblick

CAMEL (Conversational Agent Memory and Evolution Loop) is the pioneering open-source multi-agent framework for studying agent communication and cooperation. With 17k+ GitHub stars, CAMEL provides a complete ecosystem for building, training, and deploying multi-agent systems. It supports role-playing agents, task-oriented conversations, data generation, and self-improving agent pipelines. Key features include: (1) Role-playing multi-agent architecture for diverse scenarios, (2) Data generation pipelines (CoT, Self-Instruct, Source2Synth), (3) Multi-agent cooperative task solving, (4) Integration with LLMs like GPT-4, Claude, Gemini, and open-source models, (5) Research-grade agent evaluation and benchmarking tools. Built in Python with MIT/Apache-2.0 licensing.

Anforderungen

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
4096 MB
Rec Disk
20 GB

Empfohlener VPS

Hostinger · KVM 2

2 vCPU · 8192 MB · 100 GB

$6.99
Zum Anbieter

Hostinger · KVM 2

2 vCPU · 8192 MB · 100 GB

$6.99
Zum Anbieter

Hostinger · KVM 4

4 vCPU · 16384 MB · 200 GB

$11.99
Zum Anbieter

Affiliate-Hinweis

Verwandte Tools

Anleitungen & Artikel