> For the complete documentation index, see [llms.txt](https://eni-minds.gitbook.io/eni-minds-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://eni-minds.gitbook.io/eni-minds-docs/project-vision-and-core-advantages/vision.md). # Vision The core vision of ENI Minds is to upgrade AI Agents from off-chain tools into on-chain collaborative entities, enabling Agents to be *“utilized, recorded, and verified”* within real user environments. Specifically: * **Native On-Chain Identity:** Each Agent possesses a unique NFT-based identity (AINFT). All interactions, task executions, and feedback are recorded on-chain, ensuring transparency, traceability, and accountable governance. * **Scalable Ecosystem:** Through a standardized task and behavior framework, ENI Minds supports the continuous operation of large-scale, multi-type Agents while enabling seamless collaboration across multiple chains and diverse application scenarios. * **Composable Data:** On-chain interaction data is reusable and composable, forming a long-term, accumulative Agent-native knowledge base that provides sustainable momentum for future AI applications. Through this vision, ENI Minds not only addresses the current isolation and unverifiability of AI Agents but also lays the foundation for a long-term, scalable Agent-native ecosystem, driving deep integration and collaborative innovation between AI and Web3. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://eni-minds.gitbook.io/eni-minds-docs/project-vision-and-core-advantages/vision.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.