solution · agent memory

Give every agent the same memory.

Claude Desktop, ChatGPT, your coding agent, a Slack agent, a script on a schedule: each one signs in as a person, reads what that person may read, and remembers through Atlas instead of on its own.

[01] Who it is for

Built for the teams that carry the context.

01

Teams rolling out agents

You have three, five, ten agents and each one is learning the company from scratch. Atlas is the memory they share, so onboarding an agent is connecting it.

02

Builders of internal agents

A Slack agent, a support agent, a scheduled job. Connect them over MCP, scope what each may read, and let their fixes come back for review.

03

Security and IT

Access travels with the person. An agent never sees more than the person it works for, every read and write is logged, and keys are scoped to what a job needs.

[02] What changes

Before and after.

Before

  • Each agent keeps its own notes and its own version of the truth.
  • A coding agent knows the deploy runbook, the Slack agent does not.
  • Nobody can say what an agent read before it acted.

With Atlas

  • One memory, read by every agent, scoped per person.
  • Connect an agent in one command and it knows what the others know.
  • Every read and every write is on the record.

[03] What does the work

The parts of Atlas it leans on.

Each one is explained in the product tour.

One endpoint

Every agent connects to the same MCP endpoint and gets the same tools to search, read and propose.

Search with access

Search checks access before it ranks, so an agent only finds what its person may open.

Playground and evaluations

Ask as an agent would, see what it finds, and score retrieval against reference questions over time.

Change requests

When an agent learns something, it proposes the edit. A person approves it, and every other agent sees it.

Start with one team.

Bring one team's procedures, pages and definitions. We structure them with you, run Atlas for you, and connect the agents you already use.