Atlaso Memory is answering right now. Last checked 15 min ago. Last commit 26 Oct 2026.
Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.
Today is the operative word: we check Atlaso Memory every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.
claude mcp add mcp --transport http https://mcp.atlaso.ai/mcp
https://mcp.atlaso.ai/mcp
[mcp_servers.mcp]
url = "https://mcp.atlaso.ai/mcp"
{
"mcpServers": {
"mcp": {
"url": "https://mcp.atlaso.ai/mcp"
}
}
}
{
"servers": {
"mcp": {
"type": "http",
"url": "https://mcp.atlaso.ai/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mcp.atlaso.ai/mcp | streamable-http | sign-in | 243 ms | 15 min ago |
Shared memory for every AI tool you use.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Persistent memory for AI agents: connects MCP clients to your Kemory memory vault
Persistent memory for AI assistants — one shared, OAuth-secured vault for every MCP client.
Shared persistent memory for AI agents to read, verify, continue, and connect knowledge.
Encrypted mail, shared memory, and persistent context for AI agents.
Shared, persistent memory for AI assistants, built on the Zettelkasten method.
Persistent memory for AI agents - save once, recall in every session, project and tool.
Answers built from our own checks of this server.