aevatar.ai
A cloud-native AI agent framework enabling real-time collaboration and autonomous AI across platforms and blockchains with no code required.
अवलोकन
aevatar.ai is a cloud-native, multi-agent AI framework designed to create, launch, and manage autonomous AI agents that collaborate in real-time across different platforms and blockchains. It supports multiple large language models (LLMs) orchestrated simultaneously, enabling complex reasoning and decision-making workflows tailored to diverse applications. The framework is built for both technical and non-technical users, offering a no-code dashboard that allows users to describe their needs and deploy AI agents without programming. This lowers the barrier to entry for leveraging AI in Web3 environments.
The platform's core innovation lies in its open-source universal protocol that facilitates agent-to-agent communication across languages, ecosystems, and platforms, setting a standard for interoperability in the emerging AI agent economy. aevatar.ai supports event sourcing to track agent workflows, making it easier to optimize and maintain AI-driven processes. It also employs an Agent-as-a-Service model, deploying lightweight agents that autonomously monitor and automate operations across multiple environments, with deployment options on Kubernetes and security via DevSecOps and GitOps best practices.
What sets aevatar.ai apart is its ability to orchestrate multiple LLMs simultaneously for different roles within a workflow, enabling specialized AI collaboration. Its no-code interface and cloud-native architecture make it accessible and scalable for a wide range of Web3 use cases, from personal AI delegates navigating decentralized applications to enterprise-level automation. The integration of AetherLink, an AI Oracle built on the aelf blockchain, allows agents to access real-time data streams across blockchains, enhancing decision-making and responsiveness. Developers and teams can get started by exploring the open-source framework, using the dashboard for agent creation, and leveraging comprehensive documentation and community resources.
समस्या
Web3 applications and ecosystems often suffer from fragmented AI capabilities that cannot seamlessly collaborate or operate across multiple blockchains and platforms. This fragmentation limits the potential for autonomous AI agents to deliver real-time insights and automation in decentralized environments. Additionally, many AI frameworks require coding expertise, creating barriers for non-technical users to deploy intelligent agents effectively.
समाधान
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कोर एपीआई
मूल्य निर्धारण
मानक | |
|---|---|
| मूल्य (मासिक) | अनुकूलित मूल्य निर्धारण |
| मूल्य (वार्षिक) | अनुकूलित मूल्य निर्धारण |
| संदेश | लागू नहीं |
| सहायता | GitHub और दस्तावेज़ीकरण के माध्यम से सामुदायिक सहायता |
| एनालिटिक्स |
अभी निर्माण शुरू करें
विश्वसनीय आरपीसी, शक्तिशाली एपीआई और बिना किसी झंझट के।
संसाधन
aevatar.ai provides extensive resources including detailed documentation, a whitepaper outlining its architecture and vision, an active GitHub repository for the open-source protocol, and a blog for updates and use cases.
