Emosifloww

Description EmosiFloww is a Next.js-based decentralized platform that transforms personal digital memories into time-locked, encrypted, and tradeable assets known as Emotional Memory NFTs. Users can create “time capsules” that hold files, messages, or small amounts of ETH, set an unlock date, and rely on the client to encrypt the contents before uploading them to decentralized storage. Each capsule’s metadata is content-addressed and tokenized as an ERC-721 NFT, enabling owners to trade, verify provenance, or plan generational inheritance. To add intelligence and trust, the platform integrates specialized AI agents that appraise emotional and market value, validate authenticity, coordinate trades, and analyze long-term or legacy significance. By combining on-chain time-locking, Hedera scheduled execution, and Walrus-based decentralized content storage, EmosiFloww delivers reliable, verifiable, and time-based access control. The user experience is designed to be simple and accessible, centering on wallet integration through MetaMask and EIP-1193 standards, with an intuitive “create, lock, and mint” flow. This allows creators to securely mint, monetize, or bequeath their memories, while collectors benefit from AI-driven valuation, provenance verification, and a modular marketplace tailored for creators, collectors, and families.

How it’s made EmosiFloww is built using a layered architecture that integrates blockchain, decentralized storage, and AI agents. The client, developed with Next.js 15, React 19, and TypeScript, handles encryption, wallet interactions, and smart contract calls. Heavy media files are stored off-chain in the Walrus network, which uses content-addressed blobs with epoch-based retention for affordability and scalability. On the blockchain layer, Ethereum smart contracts deployed on Sepolia testnet manage minimal metadata, unlock timestamps, and ETH escrows, while ERC-721 tokens represent ownership of the capsules. For precision scheduling, Hedera Hashgraph’s scheduled transactions are used to guarantee unlock events without relying on centralized cron jobs. The AI layer integrates ASI Alliance, Agentverse, and uAgents to deploy four specialized agents—the Marketplace Coordinator, Memory Appraiser, Authenticity Validator, and Trading Legacy Agent—each contributing valuation, authenticity checks, or coordination for NFT trades. Additional integrations include OpenAI for NLP analysis, CoinGecko for real-time ETH price context, and ethers.js for contract interactions.

The data flow begins with users connecting their wallets through MetaMask. The client generates a per-capsule symmetric key, encrypts files using AES-256 (with a double-encryption option for added security), and uploads them to the Walrus publisher endpoint, which returns a blob ID. Metadata, including the blob reference and unlock date, is hashed and linked to a smart contract call, where the capsule is registered with minimal on-chain storage to save gas costs. An ERC-721 token is minted, linking the capsule to its owner. At the unlock time, either the smart contract or a Hedera-scheduled transaction initiates the release, allowing the rightful owner to fetch and decrypt the content using their client-held key.

Security and privacy are at the core of the design. All encryption is performed client-side, with keys generated per capsule and never stored in plaintext on any server. Double-encryption patterns add resilience against key leaks, while the Authenticity Validator agent ensures provenance by cross-checking blockchain signatures and metadata consistency. To optimize for scalability, heavy storage remains off-chain, while only essential hashes and references are kept on-chain.

Several notable engineering choices make EmosiFloww unique. The use of epoch-based Walrus storage enables affordable, tiered retention for time-locked content. Double encryption balances usability with strong security guarantees. Agent orchestration through ASI:One and uAgents allows each agent to remain modular, discoverable, and composable, while Hedera scheduling ensures precision without requiring continuous monitoring. The project also emphasizes gas optimization by storing only lightweight data on-chain. Finally, the frontend experience was designed for seamless wallet-first interactions, handling both connection states and fallback flows when MetaMask is unavailable.

For development and deployment, smart contracts were compiled and tested locally before being deployed to Sepolia for integration testing. Continuous integration pipelines run automated unit and contract interaction tests, while AI agent services are containerized for deployment to scalable environments. Marketplace analytics and real-time CoinGecko feeds are used for monitoring valuations and ensuring the ecosystem stays updated. Together, these design choices make EmosiFloww a secure, intelligent, and user-friendly platform for turning memories into digital assets with real, lasting value.

At the core of EmosiFloww lies a set of powerful partner technologies that make the platform truly unique. The intelligence layer is built with ASI Alliance, where we leverage ASI:One to achieve perfect search optimization, human–AI interaction, and seamless multi-agent coordination. This allows us to deploy a cohesive network of specialized agents—such as the Memory Appraiser, Authenticity Validator, Marketplace Coordinator, and Trading Legacy Agent—that collaborate to deliver valuation, provenance checks, and strategic insights for emotional NFTs. The ASI framework enables agents to be composable and discoverable, meaning they can work independently yet still integrate tightly as a team, giving users an experience that feels like interacting with a collective intelligence rather than isolated tools.

For decentralized storage, we use the Walrus network, which provides robust, content-addressed blob storage with epoch-based retention. This model is especially well-suited for time-locked memories, as data availability is tied to storage epochs, aligning naturally with our concept of capsules that only unlock after a specific period. Walrus also helps keep gas costs low by offloading large media files off-chain while still preserving immutability and verifiability.

Precise unlock scheduling is powered by Hedera Hashgraph, whose scheduled transactions allow us to enforce time-based releases without relying on centralized cron jobs or constantly online keepers. This makes the time-locking mechanism both reliable and decentralized, ensuring that memories unlock exactly when they should, no matter the state of other services.

On the blockchain side, we use Ethereum smart contracts (deployed and tested on Sepolia) to manage ownership, capsule metadata, and ERC-721 NFTs, with ethers.js handling contract interactions on the frontend. The UI itself is built with Next.js 15, React 19, and TypeScript, styled with Tailwind CSS, and secured through client-side AES-256 double encryption. Other integrations such as OpenAI (for natural language analysis) and CoinGecko (for real-time ETH prices) further enhance user experience.

By combining ASI for multi-agent intelligence, Walrus for secure and affordable decentralized storage, and Hedera for precise time-based execution, we’ve built not just a dApp, but an ecosystem where human–AI interaction, security, and reliability converge to redefine how memories can be preserved, valued, and traded.