With the arrival of the AI Agent era, an 'Agentic World' dominated by autonomous AI agents is taking shape. However, a major challenge for the widespread application of AI Agents is their 'untrustworthy output': how do we ensure that an AI Agent has truly performed the task as expected? Has its behavior been maliciously tampered with? How do we establish trust and consensus when multiple Agents collaborate?
In response to this core issue, Mind Network has engaged in deep cooperation with Byteplus and the Coze AI platform under the ByteDance ecosystem, becoming the first Web3 company to collaborate with the ByteDance ecosystem. The solution from Mind Network is its unique.
Model Context Protocol (MCP), also known as MindAgent MCP.
The core value of MindAgent MCP
MindAgent MCP service acts as a bridge connecting the AI Agent execution layer and the security trust layer, with its core function being the ciphertext verification of AI model responses. Even when data is in an encrypted state, its legality can be determined, fundamentally addressing the issue of 'untrustworthy output' of AI Agents. This technology can:
Ensuring behavioral transparency and trustworthiness: verifying whether the Agent is truly operational, whether it has been modified, and whether it represents its original intent.
Establishing consensus among Agents: During multi-Agent collaboration, help determine which judgment is closer to the facts through credit assessment based on historical behavior, thereby preventing forgery and attacks.
Providing data security and privacy protection: ensuring that Agents do not expose original content when handling sensitive data, achieving encrypted communication under zero trust conditions.
Web2 Implementation and Future Outlook
Mind Network has signed an MOU with Byteplus and will integrate its MCP service into the AI Agent platform Coze under ByteDance. This means that Mind Network's FHE technology will provide data privacy services for AI agents in the Web2 domain. This collaboration is expected to serve Lark's 40 million users, bringing Web3's privacy and security capabilities into Web2. In addition, Mind Network is also the first official integration of DeepSeek.
$FHE project, whose FHE service has entered actual production environments, providing a trustworthy foundation for AI deployment in the cloud.
Through these collaborations, Mind Network has built a decentralized agent consensus network in the Web3 field.
AgenticWorld has also provided an indispensable credit foundation for AI in the Web2 world.