> 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/use-cases.md).

# Use cases

Mindmesh opens up a wide range of novel applications across industries, ecosystems, and communities:

* **AI Developers:**\
  Deploy and monetize AI models without hosting infrastructure. Earn $MESH when users run your models or fork your agents. Use the Model Hub as a global registry for interoperable model modules.
* **Researchers & Labs:**\
  Share datasets, benchmark models, and publish open science. Contribute to a decentralized research commons and receive rewards proportional to usage and citation.
* **Startups:**\
  Avoid the high costs of centralized cloud AI providers. Use Mindmesh to build apps with embedded intelligence, serve real-time inference, and access community-maintained agents.
* **DAOs & Communities:**\
  Launch on-chain copilots, decentralized oracle validators, or proposal bots that help communities reason, coordinate, and vote intelligently — all verifiably and permissionlessly.
* **Enterprises:**\
  Run internal models on a private subnet of the Mesh. Audit model behavior via zk proofs. Secure proprietary data while benefiting from open AI infrastructure.

Mindmesh makes AI infrastructure accessible as a modular public good.


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