Two names come up constantly when people look for an AI memory tool: Supermemory and Vilix AI. Both solve the same painful problem: your AI forgets everything between sessions. But they take different approaches to AI memory, and the right pick depends on how you work.
I have spent real time with the AI memory space, so here is an honest Supermemory vs Vilix AI comparison: what each tool is, where each shines, and which one you should pick.
What Is Supermemory?
Supermemory describes itself as "the Memory API for the AI era": a memory and context engine for AI applications. It ingests content from many sources (documents, images, audio, video, connected apps like Gmail and Notion on paid tiers) and builds a context graph that AI agents can query.
For individual users, Supermemory offers plugins for coding tools like Claude Code, OpenCode, and OpenClaw, plus an MCP server for connecting AI clients. Memory can be scoped with projects (container tags) so you can separate work and personal context. It is available as a cloud service, and there is an open-source edition you can self-host as a single binary.
In short: Supermemory is an API-first AI memory platform with deep ingestion and a self-hosting option.
What Is Vilix AI?
Vilix AI is a shared AI memory layer that works across all your AI tools over MCP. Connect it once, and every connected AI (Claude, ChatGPT, Gemini, coding agents) shares one memory: what you tell one tool, the others remember.
The pitch is control and portability. You can list, update, and delete memories from any connected AI or from the Vilix AI dashboard. Your memory is portable: export everything anytime, delete individual memories or wipe your account instantly. Per-user data isolation keeps your AI memory yours.
In short: Vilix AI is a cross-tool AI memory layer built around the idea that your memory should follow you everywhere and stay under your control.
Supermemory vs Vilix AI: Key Differences
Approach to AI memory. Supermemory is API-first and ingestion-heavy: feed it documents, files, and app connections, and it builds a context graph. Vilix AI is interaction-first: memory grows out of your conversations across tools, one shared store with last-write-wins.
Cross-tool memory. Both support MCP, but Vilix AI's core design is one shared memory across every connected AI client. With Supermemory, memory is organized around projects and container tags, which suits separating contexts more than merging them.
Self-hosting. Supermemory offers an open-source single-binary edition you can run on your own hardware. Vilix AI is a hosted service.
Control and portability. Vilix AI emphasizes user control: view, edit, and delete individual memories from any connected tool or the dashboard, portable export anytime, instant full wipe. If the idea of AI memory as a black box bothers you, this matters.
Ecosystem. Supermemory ships ready-made plugins for Claude Code, OpenCode, and OpenClaw. Vilix AI connects over standard MCP, so any MCP-compatible client works.
Who Should Choose Supermemory?
Pick Supermemory if you want an API-first memory engine, need heavy document ingestion (PDFs, audio, video, connected apps), or want the option to self-host the open-source edition. Developers building AI products on a memory API will feel at home.
Who Should Choose Vilix AI?
Pick Vilix AI if your frustration is personal productivity: you use several AI tools and you are tired of re-explaining yourself to each one. One shared AI memory across Claude, ChatGPT, Gemini, and your coding agents, with full control to inspect, edit, export, or delete anything. Start with the 7-day free trial and see if your tenth session feels different from your first.
Verdict
Supermemory vs Vilix AI is not a knockout, it is a fork in the road. Supermemory is the memory API for builders who want ingestion depth and self-hosting. Vilix AI is the everyday AI memory layer for people who live across many AI tools and want one memory that follows them, fully under their control.
If your problem is "my AI tools don't remember me," try Vilix AI. If your problem is "my app needs a memory API," look at Supermemory. Either way, life is better with AI memory than without it.
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