by aelf
Quick Fact
Launched in December 2024, Aevatar.ai supports multi-LLM orchestration, facilitating cross-agent collaboration via its native protocol. Powered by AetherLink, an AI oracle on aelf, it enables agents to operate across blockchains and platforms, promoting interoperability and modular growth.
Aevatar.ai is an open-source AI protocol developed by aelf, a Singapore-based Layer 1 blockchain platform focused on scalability and AI integration. Aevatar provides a modular, cloud-native framework for orchestrating intelligent agents—each powered by different large language models (LLMs)—in collaborative, cross-chain environments. Designed for both developers and non-developers, Aevatar makes it simple to design, deploy, and manage autonomous agents across blockchains, cloud environments, and APIs.
As part of aelf’s broader mission to integrate AI with decentralized infrastructure, Aevatar.ai plays a central role in enabling the next generation of programmable, interoperable AI services.
Aevatar allows users to build AI workflows where multiple agents—each with a specific role—can work together autonomously. These agents can reason, delegate, and synthesize tasks across contexts, enhancing overall intelligence and execution speed.
Through a visual interface, users can design workflows, configure prompts, and deploy agents without writing code. This democratizes access to advanced AI infrastructure and allows broader user participation in intelligent system design.
Users can integrate and coordinate multiple language models (e.g., OpenAI, Anthropic, Cohere) within a single workflow. Each agent can use a different model, depending on its assigned role and function—enabling more context-aware and robust task handling.
Powered by aelf’s native AetherLink module, Aevatar enables cross-chain data fetching, smart contract interactions, and AI-driven decision-making. Agents can query blockchain data, monitor DeFi conditions, or automate DAO governance actions across chains.
Built on cloud-native principles, Aevatar supports deployment in Kubernetes, with CI/CD pipelines, observability tools, and security compliance modules—making it suitable for businesses scaling agent operations.
The future of AI isn't isolated chatbots—it’s networks of intelligent agents working together, governed and extended by users. Aevatar.ai introduces a modular and extensible platform where agents can coordinate tasks, communicate across chains, and adapt to complex objectives. By combining decentralized systems with scalable AI infrastructure, it creates a robust, flexible foundation for Web3-native automation, knowledge work, and collaboration.