ChainOpera AI is a Layer 1 blockchain and protocol built to enable co-ownership and co-creation of decentralized AI applications and agents. It combines blockchain technology with federated AI operating systems and decentralized platforms, focusing on data sovereignty and fostering community-driven AI innovation.
The project has recently launched quests where we can earn points by completing simple tasks. In the future, these points will be exchanged for the project’s tokens. Since the topic of AI agents is currently gaining significant attention, there’s a chance that this project could have great potential.
Investments in the project: $17M
Step-by-Step Guide:
- Firstly, go to ChainOpera AI website
- Connect your wallet
- Next, complete all available tasks
- Enter invite code: EBAB7X2A
- Invite friends using your referral link
- Don’t forget to check “OpenLedger Testnet: Decentralized AI Data Platform”
A few words about ChainOpera AI:
ChainOpera AI provides a blockchain and protocol designed for the co-ownership and co-creation of decentralized AI applications and agents.
- Empowering the AI Community
The platform empowers the AI community to innovate in the development of AI agents and applications while enabling co-ownership and restoring data sovereignty to users. It facilitates a scalable, sustainable, and trustworthy AI economy that rewards all participants—from data and GPU resource providers to model developers, AI agent/app creators, and end-users. Users can monetize their private data to contribute to community-driven AI development. The protocol offers customizable tokenomics to suit the preferences of developers and creators, including features like buyback and burn mechanisms, staking options, and governance through community DAOs. All of this is built on a federated AI operating system and platform for seamless operation. - Federated AI Operating System
The federated AI OS integrates Decentralized Identifiers (DIDs) to give users full control over their data access, privacy, security, and sovereignty across multiple agents and applications. It ensures interoperability and compatibility between agents and apps while rewarding users for contributing data that enhances community-driven large language models (LLMs). This system also simplifies the development and management of AI agents and applications by providing tools like APIs, command-line interfaces (CLIs), and low-code user interfaces for model serving, agent workflow creation, and app management.