This is a mobile version of "obsidian vault template for researcher", which is recommended for temporary note on Android or iOS.

Deploy Hashicorp Vault in the recommended architecture for a single datacenter with Terraform

Semantic recommendation engine for Obsidian vaults — embeddings + wiki-link graph boosting. Includes MCP server for Claude Code integration.

How Terraform can be used to deploy an EKS cluster following the recommended VPC setup and an Hashicorp Vault+Consul to dynamically generate short-lived database credentials per pod.

Used by "Recommended pattern for Vault ACL policy path templates" tutorial

An Obsidian Vault to share notes about Swift and iOS learning. Is recommended to clone and open the vault at obsidian app

aultMates is a collaborative AI-managed DAO vault: multiple users pool funds, AI recommends allocations, and smart contracts execute proposals automatically. Features walletless onboarding, automated decision-making, and optionally encrypted voting.

This is a single-page application (SPA) that serves as a local password vault with basic security features, suitable for personal use but not recommended for highly sensitive environments without further improvements to encryption and authentication.

YO SmartSave AI simplifies DeFi savings by using AI to recommend the best YO vaults based on user risk and returns. Users can easily deposit, track growth, and manage funds through a simple interface with real on-chain transactions.

MindPort centralizes everything you interact with—be it webpages, reels, screenshots, PDFs, or articles—into a smart, AI-augmented content vault. It leverages modular AI agents to organize, recall, and recommend information contextually while pushing real-time personalized updates, making your digital memory.

Project "The Vault" addresses the high financial losses in the Indian fashion industry caused by frequent product returns due to incorrect sizing. Rather than forcing customers to measure themselves, this B2B solution utilizes relative sizing to recommend fits based on clothing brands the user already owns.