ContextVault is live

A production-ready long-term memory platform designed for AI agents and applications.

It provides a centralized system for storing, organizing, retrieving, and managing persistent memories across applications, agents, and namespaces. The platform includes secure authentication, application and agent management, namespace-based retention policies, memory tagging and importance scoring, expiration controls, duplicate detection, archiving and restoration, and keyword, semantic, and hybrid search. It also provides retrieval testing and evaluation tools to help assess memory quality. ContextVault includes API key management, permissions and privacy controls, rate limiting, API activity logging, analytics, JSON data export, and system-readiness monitoring. The backend uses FastAPI, PostgreSQL, and pgvector for vector storage, while the responsive dashboard is built with Next.js. The project is deployed as a working production application with a real API and database infrastructure, providing a practical foundation for giving AI systems persistent, structured, and searchable memory. Powered by Codyza.

Built with FastAPI, PostgreSQL, Vercel, Python, TypeScript, Supabase, Next.js, React.