ContextVault 1.3 Offers Local-First Memory Engine to Unify AI Conversations and Sessions

ContextVault, a tool built by an independent developer, has reached version 1.3 and expanded from a simple browser conversation recorder into a local-first context engine for AI-assisted development. The tool addresses "context fragmentation," the problem of project knowledge becoming scattered across multiple AI platforms, coding agents, and terminal sessions. It operates across three layers: a Chrome extension that captures browser-based LLM conversations, a terminal integration, and a unified vault that makes all captured context searchable. All data is stored locally in IndexedDB with no backend server, no user account requirement, and no external data transmission. Conversations can be exported as Markdown files or ZIP archives, each tagged with metadata such as platform, model, and date.