Introduction
With the rapid development of artificial intelligence (AI) technology, the applications of Large Language Models (LLMs) and intelligent agents have evolved from single question-answer interactions to higher-level capabilities such as multi-agent collaboration, cross-model cooperation, and complex business process orchestration.
However, current AI systems on the market generally face issues such as platform isolation, model limitations, complex deployment, and lack of observability, making it difficult to meet enterprise users' demands for efficient, flexible, and secure AI collaboration.
aevatar.ai, a pioneer of the next-gen multi-agent AI framework, aims to build a cross-platform, cross-model AI agent ecosystem. Through open architecture, powerful visual orchestration capabilities, and cloud-native deployment methods, it empowers developers and business users to uniformly manage, schedule, and coordinate multiple intelligent agents within a single system, achieving efficient collaboration across 'multiple scenarios, multiple models, and multiple roles'.
With aevatar.ai, we are committed to providing a flexible, scalable, and security-compliant AI solution to promote the widespread application and implementation of AI technology.
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Key Points:#
Edited on: 17 February 2025 09:07:29 GMT+0