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AI & MemoryMCP RegistryremoteC · 55

Gnosis Memory MCP server

com.gnosismemory · Updated

Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.

At a glance

Gnosis Memory is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and declares no required credentials. It scores C (55/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source

One-click install

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Gnosis Memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Gnosis Memory in Claude CodeAnthropic's agentic CLI

  1. Add the server

    bash
    claude mcp add --transport http memory https://gnosismemory.com
  2. Verify it's connected

    bash
    claude mcp list
  3. Sharing it with your team?

    Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

  4. Use it in a session

    Ask Claude to use the tools this server exposes. It discovers them automatically.

What tools does Gnosis Memory expose?

This server requires credentials before it will list its tools, so we cannot enumerate them here. Connect it in your client to see what it offers.

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

  • Third-party hosted service — Your requests and any data in them are sent to gnosismemory.com.
  • No local execution — Nothing is installed or run on your machine.

    Client compatibility

    Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

    Health score

    C · 55

    Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

    • Maintenance30%not measurable

      No commit history available.

    • Adoption20%not measurable

      No usage data available.

    • Transparency20%25%

      1/4: ✓ public source repo, ✗ declared license, ✗ documentation, ✗ discoverable tool list.

    • Provenance15%75%

      Links to its own repository; package linkage unverified.

    • Packaging15%75%

      Remote endpoint; authentication requirements not declared.

    Maintain Gnosis Memory? Add a badge to your README

    Shows its health grade, and links readers to install steps for every client.

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