Agently or Vilix AI: Shared Company Brain or Personal Memory Layer, Honestly Compared

The search for the best AI memory tools usually mixes together products that solve different problems. Two names can both promise memory and still remember completely different things. Agently and Vilix AI are a clear example. One builds a shared brain that belongs to a company. The other builds a personal memory layer that belongs to one person and follows that person across every AI tool they use. Choosing well starts with naming whose memory is actually failing.

What Agently remembers: the company

Agently describes its category as the shared company brain. In its own guide to AI agent memory tools, Agently separates the field into developer libraries wired into custom agents, memory built into a single chatbot, and shared company brains that every tool reads from. Agently places itself firmly in that third group.

The Agently Brain is a temporal knowledge graph built continuously from what a company connects to it: uploaded documents, Slack, Gmail, HubSpot, Linear, GitHub, and more than 25 other sources. Facts carry validity windows, so the graph can separate current truth from superseded history instead of simply overwriting an old fact with a new one. Everything in the brain is shared. Every teammate and every agent pointed at the workspace reads the same facts, and the brain is exposed over an MCP server so tools such as Claude, ChatGPT, and Cursor can query the same company picture.

That design answers an organizational pain. Support, sales, and engineering often ask the same question and find five different answers scattered across five apps. A company brain gives the whole workspace one current source, and the validity windows handle the hardest part of company knowledge, which is that facts change over time. Agently is also clear about its own shape: it is a product, not a library. A team building an app that needs embedded memory for its own end users would reach for a developer library instead. The brain belongs to the workspace, which is exactly the point for a company that wants shared knowledge to stay with the company.

What Vilix AI remembers: the person and their agents

Vilix AI solves the personal version of the same frustration. Work today is spread across Claude, Codex, Cursor, ChatGPT, and a set of scheduled automations in tools such as n8n, Make, or Zapier. Each tool starts cold. A correction made in one chat has to be repeated in the next, and an agent that runs overnight wakes up with no record of what it decided on the previous run.

Vilix AI is a cloud-hosted memory layer, so there is zero infrastructure to install, host, or maintain. AI tools and agents connect over MCP, the open Model Context Protocol, and read and write the same memory. Because the memory lives outside any single app, the same memory is available everywhere: on a phone, on a laptop, in a coding tool, and inside a scheduled automation. One memory follows the work instead of each tool keeping a separate, partial copy.

The content of that memory matters just as much as where it lives. Vilix AI stores full conversation history, not just extracted facts or short summaries. A decision can be revisited in its original context, with the reasoning that led to it, weeks later and from a different tool. Projects, rules, and reusable workflows sit alongside those conversations, so a scheduled agent starting a new run can load what the last run learned instead of re-briefing from scratch and inventing the missing context.

Getting started carries no commitment. The free plan is free forever. A 7-day Pro trial is available with no credit card required. Data stays under the owner's control, with the ability to export everything or delete it at any time. Full details live on the Vilix AI site.

The deciding question: whose facts are missing?

A simple test separates the two products. Ask where the missing knowledge lives.

If the missing knowledge lives in company systems, in Slack threads, support tickets, CRM records, and shared documents that a whole team needs, the answer is a company brain. No personal memory layer can reconstruct a fact that was only ever written in a company channel. That is the job Agently is built for, and its temporal graph is a direct answer to company facts that expire and get replaced.

If the missing knowledge lives in conversations, in decisions made with an AI tool at midnight, in rules corrected three times in chat, in what a scheduled agent tried yesterday and what it promised to do next, the answer is a personal layer. No company graph holds that record, because those conversations never entered a company system. They happened between one person and their tools, and only a layer that stores the full conversations has them.

Consider a scheduled automation that drafts follow-ups every morning. A company brain can tell that agent what the company knows about an account. A personal layer can tell it what the agent itself sent last week, which reply already arrived, and which instruction the owner changed on Tuesday. Both facts are useful. They come from different places, and confusing one source for the other is how agents end up confident and wrong.

They stack instead of competing

Framed honestly, Agently and Vilix AI are not substitutes. A company brain can serve as one shared source that a team consults together. A personal layer carries the working record that no company system ever sees: the drafts, the decisions, the agent run history, and the preferences that shape how work gets done. Many operators need the second even when their company already has the first, because company knowledge is only half of what their agents forget.

Start by naming the gap precisely. If every teammate and every agent needs the same company facts, evaluate a company brain first. If the same context keeps getting re-explained across personal tools and scheduled runs keep starting blank, start with Vilix AI and give those agents one memory they all share. The best AI memory tool is the one matched to the memory that is actually broken.