> For the complete documentation index, see [llms.txt](https://paper.chainopera.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paper.chainopera.ai/overview/ecosystem/co-creators.md).
# Co-creators
ChainOpera AI invites co-creators to join our ecosystem by contributing development and resources for AI agents and applications. Participation is supported through our Model and GPU Platform ([https://platform.chainopera.ai](https://platform.chainopera.ai/)) and Agent Platform (), which provide the tools, infrastructure, and coordination layer for building, deploying, and scaling AI within a collaborative network.
As shown in the figure above, **Co-creators** in the ChainOpera ecosystem include the following roles:
* **AI Agent Developers** build and launch AI agents that operate within the ecosystem. These developers design and deploy agents that deliver specific services, ranging from automation and analytics to creative or social applications.
* **AI Tool Providers** supply reusable components—such as agent templates, MCP servers, and other development tools—that enable easier creation and deployment of AI agents by others.
* **AI Service Providers** deliver supporting capabilities beyond the core models, including vector databases, external APIs, and infrastructure services available through the Model Context Protocol (MCP).
* **Model Developers** train and publish model checkpoints (“model cards”) to the ChainOpera marketplace via the Federated AI Platform.
* **GPU Providers** contribute compute capacity through Web3 DePIN networks (e.g., Render, Theta, Aethir) and through collaborations with established Web2 compute providers such as CoreWeave, Hyperstack, VULTR, OVHcloud, DigitalOcean, Crusoe, FluidStack, Lambda, and Qualcomm.
* **Data Contributors** provide datasets through the Federated AI Platform’s data section or contribute directly via the flagship AI Terminal mobile app. Their participation is **recorded and acknowledged** within the contribution model.
* **Data Annotators** prepare high-quality training datasets by annotating and refining text, images, videos, and audio for use by model developers.
To join our ecosystem, please join our Discord at or send email to ****
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