FHE

I have been researching the @mindnetwork_xyz project for some time, and the recently launched on-chain encrypted messaging protocol (Encrypted Messaging Onchain) in August truly impressed me.

As a supporter of $FHE , watching them transition from the Web2 space to the present has been quite reassuring.

After all, this project has had in-depth collaborations with both ByteDance and Alibaba Cloud, and they have a deep understanding of the pain points in traditional industries. For instance, RWA is currently very popular, but on-chain information is either completely public or cannot be structured. How can we securely store and comply with privacy information, such as contracts on real estate or documents in cross-border trade?

Their protocol uses FHE and ZKP encryption technologies to encapsulate this information into NFTs with encrypted metadata, requiring authorization to decrypt, which prevents tampering and protects privacy—this is much more practical than simple on-chain storage.

I specifically studied their design benchmarked against SWIFT messages, and it truly addresses the blockchain's lack of a "semantic layer" problem. For example, recipient information in cross-border payments, interest rate instructions for derivatives settlement, and even audit data for customs documents can all be structured on-chain through encrypted messages.

This reminds me of their collaboration with ByteDance on the COZE AI Agent platform; I thought it was brilliant to apply privacy computing to AI. Now, this protocol essentially adds a "privacy brain" to on-chain communication, which aligns with Alibaba Cloud's approach to trustworthy AI.

What’s particularly interesting is the MCP service, which can verify the trustworthiness of the AI Agent's output without decryption. With the rise of multi-Agent collaboration, who ensures that their "report cards" haven’t been tampered with? The mechanism of $FHE essentially builds a credit profile for AI, and this approach of solving trust issues from a technical foundation is closely related to the experience they accumulated while servicing 40 million users on Lark.

In summary, from collaborating with Web2 giants to the implementation of on-chain encrypted protocols today, @mindnetwork_xyz has been continuously using technology to bridge the gap between traditional industries and blockchain. This pragmatic approach is quite rare in the current market.

Twitter: @mindnetwork_xyz