Atlaso is an innovative memory layer designed for artificial intelligence tools, solving a common friction point in modern workflows: the need to constantly re-explain projects, decisions, and preferences across different applications.

Built by AI researcher Ashish Khandelwal and backed by original memory research, Atlaso acts as a unified shared memory that connects once and follows you across multiple AI environments. Whether you are using Claude Code, Cursor, Codex, or ChatGPT, Atlaso automatically recalls the crucial context you care about, eliminating repetitive prompting at the start of every session and preventing your work history from being locked inside a single app.

Pros of Atlaso

One shared memory layer that works across multiple AI tools like Claude Code, Cursor, Codex, and ChatGPT.
Eliminates the need to repeatedly re-explain projects and preferences at the start of every session.
Backed by original memory research led by AI researcher Ashish Khandelwal.
Free to start making it accessible for developers and productivity enthusiasts.

Cons of Atlaso

Memory is currently limited to the supported AI tools mentioned.
Requires initial setup to connect your various AI applications to the shared layer.

Frequently Asked Questions

What is Atlaso?

Atlaso is a memory layer for AI that connects once and allows every AI tool you use to automatically recall context, project details, decisions, and your working preferences.