How do I install Atlaso Memory?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Atlaso Memory need an API key?

No required environment variable is listed on this record.

What transport does Atlaso Memory use?

Atlaso Memory is reached over HTTP.

When was Atlaso Memory last checked?

Last checked 2026-10-18. Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.

Atlaso Memory MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://mcp.atlaso.ai/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http ai.atlaso-mcp https://mcp.atlaso.ai/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "ai.atlaso-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://mcp.atlaso.ai/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.2
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

Atlaso — remote MCP server

Atlaso is an AI memory layer: one shared, persistent memory across every AI tool you connect.

Tell it once in one tool, and it's already there in the next. Atlaso recalls the context that matters before each turn and captures the durable facts after — your decisions, your preferences, and where you left off.

This repository documents Atlaso's hosted MCP server. Atlaso is a managed service, so there is nothing to self-host and no server code here — you connect to the endpoint below and authorize in your browser.

Endpoint: https://mcp.atlaso.ai/mcp
Transport: Streamable HTTP
Auth: OAuth 2.1 with dynamic client registration — your MCP client walks you through it; there are no API keys to paste
Website: https://www.atlaso.ai
Docs: https://docs.atlaso.ai

Connect

Any MCP client that supports remote servers can connect. Add https://mcp.atlaso.ai/mcp as a connector and authorize in the browser when prompted.

Claude Desktop / claude.ai — Settings → Connectors → Add custom connector → paste the endpoint → Connect → authorize.

Cursor, VS Code, and other MCP clients — add it as a remote MCP server:

{
  "mcpServers": {
    "atlaso": {
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

Terminal-based tools (Claude Code, Codex, OpenCode, Antigravity) get a richer integration than MCP alone — automatic recall before each turn and automatic capture after, via hooks. One command sets all of them up:

curl -fsSL https://atlaso.ai/install.sh | bash    # macOS / Linux
irm https://atlaso.ai/install.ps1 | iex           # Windows

That installs the atlaso CLI, links the machine (creating your account if you don't have one), then asks which of your AI tools should share the memory.

Tools

Tool	What it does
`recall(query, limit=5)`	Search your memory for notes relevant to `query`. Returns a ranked list of `{id, content}`. Read-only.
`remember(text, polarity)`	Save a durable note — a decision, preference, or gotcha. `polarity` is one of `positive`, `open`, `cautionary`, `negative`. Returns the new id.
`recent(limit=10)`	List the most recent memories, newest first. Read-only.
`forget(id)`	Permanently delete a memory by id. Destructive and not undoable.
`status()`	Connection state, how many memories are stored and pending, and your memory health score. Read-only.

Every recall carries a verdict on whether a memory is settled or contested, so the model isn't acting on shaky context.

Memory scopes

Memories are either personal (they follow you everywhere) or project (scoped to the repository or workspace you were in). Both are recalled automatically in the right place — you don't manage scopes by hand.

Privacy

Secrets are scrubbed before anything is stored. Data is encrypted in transit and at rest. Your memory is never used to train AI models and never sold. On the free plan it is never sent to any LLM at all. You can delete any single memory, or your whole account, at any time.

Pricing

Free for one device and one tool. Pro is $10/month for unlimited devices and tools sharing one memory, plus Ambient Memory, background enrichment, Ask your memory, and JSON export. Build is $25/month and adds a developer memory API.

Registry

Listed in the official MCP Registry as io.github.imashishkh21/atlaso. The server.json in this repository is the published manifest.

Atlaso is a product of Atlaso Labs Inc. This repository is documentation for the hosted service; the service itself is not open source.

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install Atlaso Memory?

Does Atlaso Memory need an API key?

What transport does Atlaso Memory use?

When was Atlaso Memory last checked?

Documentation

Atlaso — remote MCP server

Connect

Tools

Memory scopes

Privacy

Pricing

Registry