Vilix AI vs Supermemory: Which Memory Layer Fits Your Agents?

The short answer: Supermemory is a memory engine you integrate per app: open source, self-hostable, usage-based pricing, strong at document ingestion. Vilix AI is a hosted memory service your tools share over MCP: one account, zero infrastructure, full conversation history plus work state. The real question is who operates the memory. The honest tradeoff: Vilix AI is cloud-only, while Supermemory is MIT-licensed and runs on your hardware.

What are Vilix AI and Supermemory?

A memory layer stops your AI tools from starting every session at zero. Instead of re-explaining the project and what failed last time, the agent reads from shared memory and keeps working.

Supermemory (supermemory.ai) is a memory and context engine for agents and AI products. Your app stores memories through its API; it builds a per-user memory graph of profiles, fact hierarchies, and extracted knowledge. It also handles documents (SuperRAG: multimodal extraction and chunking, no embeddings to manage) with connectors like Gmail, S3, and a web crawler on higher tiers. The repo is MIT-licensed, with plugins for Cursor and Claude Code, and usage-based pricing from a free tier up to Enterprise with air-gapped deployment.

Vilix AI is a cloud-hosted shared memory and work-state layer across MCP clients, tied to one account. Connect each AI tool once (OAuth, or an API key as a Bearer header to https://api.vilix.ai/mcp for headless agents like Hermes or OpenClaw) and the same memory follows you across Claude, Codex, Cursor, OpenClaw, Hermes, and any MCP-compatible AI. It stores full exchanges with source metadata, plus derived memories, projects, tasks, rules, skills, and an agent inbox. You manage nothing.

The key difference: Supermemory is a memory engine you integrate into each app and operate as part of your stack. Vilix AI is a memory service your agent calls over MCP. Building an agent yourself? Both are on the table. The question is whether you want to run the memory layer or buy it hosted.

Vilix AI vs Supermemory: head to head

Supermemory facts: supermemory.ai/pricing and docs, read 2026-10-07. Vilix AI facts: product truth sheet. Prices and features change; verify both pricing pages.

Where is Supermemory stronger?

1. You can run it on your own hardware. MIT-licensed repo plus commercial self-hosting on Scale and Enterprise (air-gapped on Enterprise). If data residency is a hard requirement, that ends the argument.
2. Usage-based pricing fits spiky workloads. Light usage draws from a small credit balance instead of a flat fee, and the free tier's monthly credits cover real experiments.
3. Documents are its home turf. If the job is "remember what is in these PDFs, this inbox, this S3 bucket," SuperRAG plus the connectors are built exactly for that.
4. Per-user profiles as a product surface. Evolving user profiles with dashboard visibility help when you ship a product to end users and want to see what the memory layer believes about them.

Where is Vilix AI stronger?

1. Full conversations, not extracted facts. Supermemory distills interactions into its graph; the reasoning and dead ends behind a decision do not survive. Vilix AI stores the actual exchanges, so you can revisit the real conversation.
2. Memory plus work state. Projects, tasks, rules, reusable skills, an agent inbox, editable from any connected AI or the dashboard. Supermemory is a memory engine, not a task system.
3. Zero integration code per tool. Every Supermemory app gets its own integration and scoping design. With Vilix AI there is no app to wire: connect each tool once, and a scheduled agent shares memory with your interactive sessions automatically.
4. It backs agents you build and sell. Shipping a customer-service agent or headless worker? Connect it with an API key over MCP and it gets full memory with zero memory infrastructure on your side.

What is the honest tradeoff?

Vilix AI is cloud-only: no self-host, no open-source server. If your data cannot live on someone else's servers, Supermemory wins outright. The counterweight is portability: export everything in a portable format anytime, delete individual memories or wipe the account instantly, per-user isolation, no training third-party models on your memory.

The other way: Supermemory's usage pricing is fair but not automatically cheap. Re-ranking and query-rewriting operations are metered separately ($100 per million operations on its rate card), and a chatty agent loop burns credits faster than a flat plan would. Model your real query volume first.

And a Vilix AI caveat: each AI client needs its own one-time setup; one approval does not configure the others. Deliberate security choice, but five tools means five small setups.

Which should you pick?

• Pick Supermemory if data must stay on your hardware, if document ingestion is the core job, if you want usage-based pricing for spiky workloads, or if per-user profiles with dashboard visibility are part of the product you ship.
• Pick Vilix AI if you bounce between many AI tools (including scheduled agents that run while you sleep), want full conversation history instead of extracted facts, would rather manage zero infrastructure, or you are building an agent and want its memory handled as a hosted service over MCP instead of code you operate.
• Try both free tiers if you are unsure: Supermemory's free credits and Vilix AI's free plan cost nothing, and one afternoon of real usage answers this better than any article.

FAQ

Do I need to write code to use Supermemory?

For the API, yes: your app stores and searches memories in code. No-code surfaces exist (Chrome extension, web app, editor plugins, MCP), but the memory still belongs to each app's integration. Vilix AI requires no code; you enable the memory tools in each client.

Is Vilix AI self-hostable?

No. Vilix AI is cloud-hosted only. If you need self-hosting or air-gapped deployment, Supermemory (Scale/Enterprise) is the honest pick.