Vilix AI vs MemorySync: Which Memory Layer Fits Your Agents?
Vilix AI vs MemorySync: Which Memory Layer Fits Your Agents? Vilix AI and MemorySync both give AI agents hosted memory over MCP, but they store different things. MemorySync extracts durable facts and scopes them per end user, which fits agent products serving many customers. Vilix AI stores full conversation history, plus projects, tasks, and rules, in one shared layer across the tools you use and the agents you build. What is MemorySync? MemorySync is a hosted memory layer for AI applicatio
Vilix AI vs MemorySync: Which Memory Layer Fits Your Agents?
Vilix AI and MemorySync both give AI agents hosted memory over MCP, but they store different things. MemorySync extracts durable facts and scopes them per end user, which fits agent products serving many customers. Vilix AI stores full conversation history, plus projects, tasks, and rules, in one shared layer across the tools you use and the agents you build.
What is MemorySync?
MemorySync is a hosted memory layer for AI applications. You connect it over MCP, and it stores facts an agent can recall in later sessions instead of starting every conversation from zero.
Its memory server is hosted, speaking Streamable HTTP, so nothing runs on your machine. It offers fifteen memory tools, plus resources and prompts, and you sign in with OAuth or send an API key for headless and CI use. The documented flow extracts atomic facts from the text before storing them, follows typed relationships between facts, including contradictions, and derives a standing profile from stored memory.
Two MemorySync strengths are worth naming plainly: multi-tenant scoping is built into the API, with every call able to name an organization, a project, and an end user, and reads, searches, and deletes filtered to that scope; and a community n8n node package, announced October 22, 2026, plugs MemorySync Chat Memory into an n8n AI Agent's memory port, so session history survives restarts and redeploys. It requires n8n 2.16.0 or later, and at announcement it was not yet available on n8n Cloud, with verification in progress.
What is Vilix AI?
Vilix AI is a cloud-hosted shared memory and work-state layer across MCP clients, tied to one Vilix AI account. Connect each AI tool once, enable the memory tools, and the same memory follows you across tools: Claude, Codex, Cursor, OpenClaw, Hermes, Grok, Manus AI, GitHub Copilot, Windsurf, Lovable, Muse, and any MCP-compatible AI.
What gets stored is full conversation history, not just extracted facts: the actual exchanges your clients send, with source metadata, plus derived memories, projects, tasks, personal rules, project rules, reusable agent skills, and an agent inbox. Retrieval is semantic and keyword-based, so an agent finds what was meant as well as exact strings like order IDs, and when two saves conflict, the most recently saved version is what the AI sees. You can list, update, and delete projects, tasks, and rules from any connected AI or from the dashboard at app.vilix.ai, export everything in a portable format anytime, or delete individual memories or wipe the account instantly.
How do Vilix AI and MemorySync compare?
| Vilix AI | MemorySync | |
|---|---|---|
| What it is | Cloud-hosted shared memory and work-state layer across MCP clients, one account | Hosted memory layer for AI applications, over MCP and REST |
| Core memory model | Full conversation exchanges with source metadata, plus derived memories, projects, tasks, rules, skills, and an agent inbox | Extracted atomic facts, typed relationships, contradictions, and a derived standing profile |
| Hosting | Cloud-hosted, you manage nothing | Managed service only, hosted remote MCP server |
| How it connects | OAuth per tool, or API key as Bearer header to https://api.vilix.ai/mcp for headless agents | OAuth, or API key for headless and CI use, at a hosted MCP endpoint |
| Tool coverage | Claude, Codex, Cursor, OpenClaw, Hermes, Grok, Manus AI, GitHub Copilot, Windsurf, Lovable, Muse, any MCP-compatible AI | Claude, Cursor, VS Code, Devin Desktop, Codex, OpenCode, and any client that speaks remote MCP, plus an n8n community node |
| Retrieval | Semantic plus keyword search, recency-aware | Search, list, follow relationships, and read the profile over its memory tools |
| Conflict handling | Last write wins: correct something once and every tool sees the update | Typed relationships surface contradictions, and a corrected fact replaces the old value for one-value facts |
| Work state | Projects, tasks, rules, skills, and an agent inbox alongside memory | Memory and profile, scoped per organization, project, and end user |
| Multi-tenant scoping | Data isolated per user account | Every call can name organization, project, and end user, with reads and deletes filtered to that scope |
| Data portability | Export everything in a portable format anytime; delete individual memories or wipe the account instantly | Per-user export endpoint documented, plus forget-by-filter and per-end-user purge |
| Pricing | Free plan; Starter $10/mo or $100/yr; Pro $20/mo or $200/yr; Power $49/mo or $469/yr; 7-day Pro trial, no credit card | Free tier listed; managed service only |
MemorySync facts above come from its public docs and its n8n community announcement, read November 2026. Vilix AI facts come from the Vilix AI product truth sheet. Prices change, so verify both pricing pages before you commit.
Who should pick MemorySync?
Pick MemorySync if you are shipping an agent product to many end users and per-end-user scoping is a first-class requirement, or if you want a fact-extraction memory model with typed relationships and a derived user profile, including an n8n node for agent workflows.
Who should pick Vilix AI?
Pick Vilix AI if your memory needs to follow one person or one team across many tools and many agents, not just inside a single product. That is the operator case: plan in one tool, build in another, run a scheduled agent overnight, and check from a phone app, with every one of them reading the same full conversation history, projects, tasks, and rules. It is also the builder case: your built agent calls the same hosted layer over MCP and gets the same shared memory your own tools use.
What about n8n and scheduled agents?
For n8n, MemorySync's community node is a genuine, practical path: plug it into the AI Agent's memory port and sessions survive restarts. For scheduled agents, ask what the next run gets back: with Vilix AI, the full saved exchanges, decisions, and work state from every connected tool; with MemorySync, extracted facts and the derived profile, scoped to that end user.
Frequently asked questions
Does MemorySync work with n8n?
Yes, through a community node package announced October 22, 2026. It adds a MemorySync Chat Memory node for an n8n AI Agent's memory port, plus workflow operations for adding, searching, and recalling memories, scoped by end user ID. It requires n8n 2.16.0 or later for the chat memory node.
Can a built agent use Vilix AI, or only tools I use myself?
Both. A built agent connects with an API key as a Bearer header to https://api.vilix.ai/mcp and gets full memory with zero memory infrastructure. The same memory your own tools read and write is the memory your agent reads and writes.
Do I have to choose one memory layer forever?
No. Start with the shape that matches how your context is created: scoped facts per end user, or full shared history across tools and agents. Check both products' export paths before you build a large history on either one.
If you want to try the shared-memory model, Vilix AI starts with a free plan and a 7-day Pro trial with no credit card. Leave with your data whenever you want: export everything or delete it anytime.