MemoryPlugin or Vilix AI: Which Cross-Tool AI Memory Actually Fits Your Workflow?

Quick answer: Search "what are the best AI memory tools" and the top result is MemoryPlugin's own comparison, which ranks MemoryPlugin first. The product underneath is real: a consumer memory layer that follows you across AI tools, via a browser extension plus an MCP server covering ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and more than 21 platforms, at $89/year for Core and $180/year for Pro with a 7-day trial. Vilix AI is a hosted memory layer your tools reach over MCP: cloud-hosted with zero infrastructure, the same memory on every tool and device, full conversation history instead of extracted facts, free forever, Pro at $20/month after a 7-day trial that asks for no credit card. Pick MemoryPlugin when your AI work happens inside browser tabs. Pick Vilix AI when it runs across coding agents, scheduled automations, and devices no extension can reach.

The ranking you actually saw

MemoryPlugin's "The 7 Best AI Memory Tools in 2026: Compared" sits at number one for this query, and it puts MemoryPlugin at number one on its own list. That is self-ranked vendor content. It does not make the product bad. It means you should verify every claim the way you would verify any vendor comparison: against the product's actual pricing page and actual feature set, which MemoryPlugin publishes openly.

Of everything on that list, MemoryPlugin pitches the closest thing to Vilix AI's framing: one memory that works across your AI tools instead of memory locked inside each app. Here is the direct version.

What MemoryPlugin actually gives you

MemoryPlugin (built by Crestify) is a memory layer that sits outside any single AI app. Save something while chatting in ChatGPT, and Claude can use it in your next conversation. It connects to ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, TypingMind, and more than 21 platforms in total.

The entry point is the browser extension (Chrome, Safari), which syncs your chat conversations live. From there it has grown outward: a hosted and local MCP server on the official MCP registry, a macOS Sync app that pulls coding agent conversations (Claude Code, Codex, Cursor) into your chat history, a custom GPT inside ChatGPT, a TypingMind plugin, and an open API. Memory is organized into buckets by project or life area so each chat pulls only the relevant slice, and its Smart Memory layer filters retrieval to reduce token usage. Chat history import covers ChatGPT, Claude, Gemini, TypingMind, Grok, and DeepSeek. Data is encrypted at rest, and the company states it never trains models on your conversations; you can export everything.

Pricing is annual: Core at $89/year (unlimited memories, the last 500 conversations imported) and Pro at $180/year (unlimited history, knowledge graph in beta, summaries, monthly insights, shared buckets), both opening with a 7-day trial.

What Vilix AI actually gives you

Vilix AI is a cloud-hosted memory layer that your tools and agents reach over MCP. Agents and apps call get_context to load relevant saved context before acting, and save_turn to persist the exchange after acting. The same memory follows you on your phone, your laptop, your coding agent, and your scheduled automations, because everything reads and writes through the network, not through a browser tab.

What gets stored is full conversation history, not just extracted facts: the actual exchanges, plus derived memories, tasks, project rules, and standing rules. Retrieval combines semantic and keyword search, and when two saves conflict the most recent save wins.

The free plan is free forever. Starter is $10/month and Pro is $20/month, with a 7-day Pro trial that requires no credit card. You can export everything or delete it instantly, and leave with your data whenever you want.

The entry point question

The honest taxonomy of "AI memory tools" is not features. It is who operates the memory:

1. Developer memory APIs you wire into an app you ship (Mem0, Zep, Letta). You are building a product with memory; your code calls the API.
2. Self-hosted memory stores you run yourself (cognee, ChromaDB, Graphiti). You own the data custody and the maintenance.
3. Hosted services that operate the memory for you. Both MemoryPlugin and Vilix AI live here. The difference between them is the entry point.

MemoryPlugin starts from the browser: an extension that rides along with your chat tabs and carries context between the web apps you already use, now extended by MCP, a Sync desktop app, and an open API. Vilix AI starts from the network: a hosted layer that any MCP-compatible tool connects to, whether or not it runs in a browser.

If your AI life happens inside ChatGPT, Claude, and Gemini tabs, an extension-first approach is the shortest path to shared memory. If your AI work spans places a browser tab never reaches, a hosted layer can actually see them.

Where the browser stops

Think about a nightly automation: an agent wakes up on a schedule, checks your inbox, drafts a summary, and saves what changed so tomorrow's run knows where today ended. The next morning it needs yesterday's state back without you re-explaining the project. No browser tab is open during any of that, and that is the whole point: the memory is network-native, not tab-native.

The same applies to coding sessions that start from a terminal, automations triggered by webhooks, and anything that runs on your phone. The question to ask of any memory product is not just which tools it supports today. It is: when my tools run somewhere my browser is not, where does the memory live?

Who should pick which

• Pick MemoryPlugin if your AI work happens inside browser chat tabs and you want context to follow you between ChatGPT, Claude, Gemini, and the rest with minimal setup. Its buckets, history import, and 21-plus platform coverage are built for exactly that pattern, and the annual pricing is straightforward.
• Pick Vilix AI if your AI work spans coding agents, scheduled automations, and multiple devices. Its memory layer is designed for agents that run on schedules across different tools, where the cost of re-explaining the project every session is the thing you are actually paying. The free plan is free forever, and the trial takes no credit card, so the evaluation costs nothing.
• Pick neither if you only use one AI tool. That tool's built-in memory is enough. A shared layer solves a problem you do not have yet.

The bottom line

"Best AI memory tool" is the wrong question. The right question is where your AI work happens and who operates the memory. Browser-tabs-first with minimal friction: MemoryPlugin. Multi-tool, multi-device, agents running on schedules: a hosted MCP layer like Vilix AI. Self-ranked listicles are marketing; the taxonomy above is how you actually decide.