Lifelink
Secure your digital legacy, before it’s too late.
Demo
About
The problem it solves Managing the inheritance of onchain assets is a critical issue that the blockchain space has long overlooked. If a wallet owner unexpectedly passes away, their assets are often permanently inaccessible, leading to millions in lost crypto annually. Existing dead man’s switch solutions are either centralized, unreliable, or depend on a single data source, making them prone to manipulation or failure. LifeLink solves this by combining AI agents and decentralized oracles to monitor multiple off-chain signals — wallet inactivity, social media silence, and death registries — ensuring a fair, reliable, and decentralized trigger mechanism for inheritance execution. **People can use LifeLink to:** - Securely pass digital assets to loved ones without relying on centralized services. - Automate estate management in the decentralized ecosystem. - Eliminate the risk of funds being locked forever in inaccessible wallets. - Add AI-powered decision-making for inheritance conditions based on multiple real-world signals, improving fairness and reducing false triggers.
How it's made
Challenges we ran into While building LifeLink, the biggest challenge was designing a reliable way to detect a wallet owner's death using decentralized and off-chain signals without compromising privacy or requiring excessive trust in a single source. **Key hurdles:** - Integrating AI agent verdicts into an onchain smart contract via Chainlink Functions. Handling asynchronous, multi-source data was complex and required careful orchestration logic. - Simulating external APIs for social and death registries, since no public API provides this safely for hackathon use. We overcame this by building a clean, modular mock API system for testing. - **ElizaOS** integration: Understanding elizaOS’ multi-agent orchestration system and adapting it to our inheritance flow was initially tricky, but we modularized agent definitions and verdict aggregation to simplify coordination. - Despite these hurdles, breaking down problems into modular services (agents, orchestrator, Chainlink Functions, Automation triggers) helped us debug issues independently and build a working, scalable prototype.