Unabyss or Vilix AI: Context Built From Your Apps or Memory Built From Your Conversations, Honestly Compared

If you run more than one AI tool, you already know the gap. ChatGPT remembers one version of your project. Claude remembers another. A scheduled agent in n8n or Make remembers nothing at all between runs unless something hands it the state from the last run. The question "how do I share context between ChatGPT, Claude, and other AI tools?" has two serious answers, and they start from opposite ends. Unabyss builds the shared context out of your work apps. Vilix AI builds it out of the conversations and agent runs themselves. Both put one layer outside every tool and serve it over MCP. The right pick depends on where your context is actually created.

The problem both tools are solving

Every AI app keeps its own memory in its own silo. Native memory helps inside one app and does nothing across apps. Copying a summary from one tool into another works once, then the copies drift: the decision you updated in Claude on Tuesday is still the old decision in ChatGPT on Friday. Hand-kept context files have the same shape. You edit the file, and every tool that loaded an earlier copy keeps working from the earlier version.

A shared layer fixes the shape of the problem. Instead of N copies, there is one store. Every connected tool reads from it at the start of a session and writes back at the end. Change something once and the next tool, on the next run, sees the change. Unabyss and Vilix AI both do this. They differ in what fills the store.

How Unabyss builds context

Unabyss calls itself a personal context layer. You connect at least two of its 26 work apps, such as Gmail, Google Calendar, Notion, Slack, GitHub, or Linear. Unabyss extracts a structured picture of your projects, decisions, and preferences from those apps, keeps that picture current as the apps change, and serves it over MCP to 13 clients, including Claude, ChatGPT, Cursor, Claude Code, and Codex. In Claude it appears as a listed connector, so there is no server URL to paste.

Control is granular: you decide what each AI tool sees, per app and per file. Access to your apps is read-only, the data is encrypted, and it is never used for training. For tools that do not speak MCP yet, Unabyss offers more than 20 one-click exports as Markdown files.

Unabyss reports its own August 2026 benchmark plainly: adding the layer to an assistant that already had the same tools connected cut cost by 36 percent, cut time by 38 percent, and cut follow-up prompts by 60 percent across 20 tasks run 60 times in Claude Code. Pricing is a 7-day free trial with no card, then Pro at $15 a month, or $13 a month billed annually, and Max at $89 a month. There is no free plan.

That is a strong design when the source of truth is your inbox, your calendar, and your docs, and when the context changes there first.

How Vilix AI builds memory

Vilix AI starts from the other end: the work that happens inside AI tools and never lands in a work app at all. A long troubleshooting conversation. A coding session where three approaches were rejected before one stuck. A scheduled automation that processed 40 orders overnight and needs the next run to know exactly which 40, which ones failed, and what was already promised to each customer. None of that lives in Gmail or Notion. It lives in the conversation and the run.

Vilix AI is a cloud-hosted memory layer, so there is zero infrastructure to run: no server to install, no database to maintain, nothing to keep awake on a laptop. You connect each AI tool once, Claude, Codex, Cursor, ChatGPT, OpenClaw, Hermes, or any other MCP-compatible client, to the same Vilix AI account over MCP. From then on, every connected tool reads and writes the same memory, and the same memory follows you on every device, phone, laptop, and desktop alike.

What gets stored is full conversation history, not just extracted facts. The actual exchanges are kept, so a later session can revisit what was really said, in order, instead of trusting a one-line summary of it. Alongside the conversations, Vilix AI keeps projects, tasks, personal rules, and reusable skills, so a correction you give one agent, "never email a customer twice about the same order," becomes a rule every agent loads on its next run. For automation operators, that is the core use: a scheduled agent wakes up, loads the shared state, picks up where the last run stopped, and saves its results back for the run after it.

The plan structure is simple. The free plan is free forever. The 7-day Pro trial needs no credit card. And your data stays yours: export everything or delete it at any time.

The deciding question: where is your context born?

Run this test on your own week. Pick the last five times an AI tool gave you a wrong or stale answer because it was missing context. For each one, ask where the missing fact lived at that moment.

If the answer is mostly "in an email," "in the calendar," "in a Notion page," or "in a Slack thread," Unabyss starts from the right place. It reads those apps directly and keeps the layer current as they change, so the context exists before your first prompt.

If the answer is mostly "in the last conversation," "in what the agent decided at 2 a.m.," "in the run that already handled half the list," or "in a correction I already gave another tool," Vilix AI starts from the right place. That context is born inside AI work, and a memory built from the conversations and runs themselves is the one that captures it, in full, for every tool and every scheduled run that follows.

Many operators land in the second group without noticing. The apps hold the inputs. The decisions, the exceptions, the half-finished jobs, and the rules live in the exchanges. That is exactly the memory scheduled agents need, because an agent that wakes up blind re-briefs from scratch, repeats finished work, and invents the missing context it was never given.

Bottom line

Unabyss and Vilix AI agree on the architecture: one memory outside every tool, served over MCP, beats a private copy inside each tool. They disagree, usefully, on the source. Unabyss builds context from your work apps and keeps it current as they change, at $15 a month after a 7-day trial. Vilix AI builds memory from your full conversation history and your agents' runs, cloud-hosted with zero infrastructure, the same memory on every tool and every device, free forever on the free plan with a 7-day Pro trial and no credit card, and export or delete at any time. Choose by where your context is born. If it is born in the work your agents do, start there.