a codeless cloud-native multi-agent framework designed to create, launch and manage AI agents across different ecosystems and blockchains
Designed and developed for both technical and non technical users, the aevatar.ai framework uses AutoGen for multiple LLM orchestration which allows it to support different LLMs across diverse workflows, making it suitable for complex reasoning and decision making for various applications.
aevatar.ai forms the open-source universal protocol that supports agent-to-agent communications across different languages, platforms, and ecosystems, creating the standard for the future of the AI agent economy.
aevatar.ai multi-agent framework enables AI agents to simultaneously collaborate using diverse language models tailored to specific roles. Complex workflow steps can leverage the model A, while routine tasks utilize model B, enabling users to effortlessly access, replicate, and customize agent workflows to fit various scenarios.
Users simply describe what they need on the aevatar dashboard instead of coding terminal to easily create, deploy and manage agents; No Code required. Event Sourcing allows users to easily track and understand their agents' workflow, making it easier to identify areas for improvement to optimise results.
aevatar.ai utilises Agent-as-a-Service to simplify system oversight by deploying lightweight agents that autonomously monitor, automate, and manage operations across multiple environments and platforms. Easily deploy on Kubernetes coupled with robust security through industry standard DevSecOps and GitOps.
aevatar.ai is built for general-purpose, scalable, multi-domain logic across platforms, ecosystems, and industries for the everyday user.
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