Rivault provides a zero-knowledge vault for securely storing personal data and context, granting one-tap access to AI agents without exposing data to the service.
Why it matters
API Available
overview
Rivault is a secure data vault tool developed by Hyulim that enables users of AI agents to securely store and provide sensitive personal and professional data. It ensures that users can authorize what agents can access while maintaining security and privacy through zero-knowledge encryption and one-tap authorization.
features
Rivault incorporates several features designed to secure sensitive data while facilitating its use by AI agents for task automation. These include end-to-end encryption and user-controlled access mechanisms.
use cases
Rivault is designed for individuals and teams who utilize AI agents for various tasks and require a secure method to manage and share sensitive information without compromising privacy. Its primary users are those concerned with data exposure in AI interactions.
how to use
To use Rivault, users store their sensitive data in the encrypted vault and then authorize AI agents to access specific information for task completion. The process involves explicit user approval for each data release.
pricing
Rivault offers a freemium model with two distinct plans: Basic and Pro. The Basic plan provides core functionality for limited use, while the Pro plan expands capabilities for more extensive data storage.
Similar Tools
Rivault differentiates itself by focusing on secure, authorized data sharing specifically for AI agents, addressing the privacy concerns of providing sensitive information to AI tools. It contrasts with general knowledge bases and local AI environments by offering a dedicated zero-knowledge vault with explicit user authorization.
A local-first markdown knowledge base that stores all your data as plain text files on your device, offering extensive customization and a vast plugin ecosystem.
While Obsidian stores data locally and privately, it doesn't inherently offer the 'zero-knowledge vault' model where a separate service mediates access for AI agents. You'd need to integrate AI agents (e.g., local LLMs or through plugins) yourself, and the security model relies on your local machine's security, not a dedicated vault service.
An open-source, local-first knowledge base that uses plain text Markdown and Org-mode files, emphasizing linked thoughts and daily journaling.
Similar to Obsidian, Logseq provides local, private data storage. However, it lacks the explicit 'zero-knowledge vault for AI agents' architecture of Rivault, meaning you'd rely on community plugins or custom setups for AI agent integration, and the data security is tied to your local system.
Enables running large language models locally on your own machine, ensuring all data processing and context generation happens privately without sending information to external servers.
Ollama provides the environment for private AI processing, but it doesn't offer a dedicated 'zero-knowledge vault' for structured data storage like Rivault. You would manage your data locally (e.g., in text files or a local database) and feed it to the local LLM, requiring more manual setup for context management compared to Rivault's integrated approach.
A local-first, end-to-end encrypted knowledge management tool that allows you to create and link various types of information, with data stored on your devices and optionally synced via a private network.
Anytype offers strong local-first, end-to-end encrypted data storage, fulfilling the 'zero-knowledge' aspect by design. However, it doesn't have built-in 'one-tap access to AI agents' like Rivault; integrating AI would require custom development or reliance on future community integrations, making it less plug-and-play for AI agent context.
