UNIMATRIX
Build AI that remembers.
AI Memory Infrastructure — the memory layer for AI.
Company Overview
Unimatrix is persistent AI memory infrastructure for assistants, agents, and applications. It provides a shared, durable memory layer that AI clients — Claude, ChatGPT, Gemini, Cursor, Windsurf, and custom agents — can read from and write to over the Model Context Protocol. Because the memory lives in one place, a conversation can be started with one AI and continued with another, across any device, without re-explaining context.
Unimatrix is in private beta and self-hostable. Memory content is encrypted at rest with AES-256-GCM, transport is TLS 1.3, and all memory access is explicit and auditable — AIs call memory tools on purpose rather than silently scanning user data.
Key Facts
- Category
- AI Memory Infrastructure
- Brand line
- Build AI that remembers.
- Product
- Persistent memory layer for AI via MCP (Model Context Protocol)
- Positioning
- Cross-LLM and cross-device memory continuity
- Distribution
- Managed cloud (private beta) and self-hosted (Docker)
- Integration
- Works with any MCP-capable or REST-capable AI client
- Status
- Private beta
- Website
- https://deployunimatrix.com
What We Do
- Cross-LLM continuity. Start with ChatGPT, continue with Claude, switch to Gemini — one persistent context across every AI.
- Cross-device sync. Memories follow you from iPhone to iPad to desktop to a self-hosted home server, synced in real time.
- Self-hostable. The full stack ships as Docker images for teams that need full data control.
- Private and auditable. AES-256-GCM at rest, TLS 1.3 in transit, explicit memory tool access, and audit logging.