> For the complete documentation index, see [llms.txt](https://docs.mind-mesh.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mind-mesh.info/mindmesh.md). # Mindmesh Today’s AI ecosystem is plagued by fragmentation and centralization: * Model access is gated by paywalls or platform APIs * Compute is locked behind cloud monopolies with predatory pricing * Datasets are hoarded in silos with no transparency or traceability * Inference outcomes are unverifiable and prone to manipulation Mindmesh offers a radically open alternative. It brings together compute providers, AI developers, data curators, and users under a shared economic framework — the $MESH token — to coordinate decentralized AI services at scale. By introducing a marketplace for verifiable intelligence primitives, Mindmesh: * Empowers contributors to earn directly for AI value creation * Lowers the barrier to deploying AI agents without centralized infrastructure * Enables novel applications like on-chain reasoning agents, DePIN-native copilots, or DAO decision bots * Secures trust through zero-knowledge proofs of inference We are building an open AI operating system for the internet. --- # 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: ``` GET https://docs.mind-mesh.info/mindmesh.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.