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Memory and knowledge · MCP server

Mnemosyne OS: MCP server, setup and security

Mnemosyne OS is an MCP server published on GitHub that lets an AI agent retrieve local governed memories and read other coding agents' output. Its repository has 20 stars and its last commit is from October 23, 2026, but it declares no licence.

Score
63/100
Adoption (stars) 13/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
OfficialActively maintainedNo licence

What Mnemosyne OS does

According to its repository: “Human-governed memory in local, domain-separated vaults with hybrid retrieval; also reads other coding agents' output. Requires the Mnemosyne OS desktop app.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Mnemosyne OS is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #145 by stars.

Topics declared by the repository: electron, local-first, mnemosyne, multi-agent, privacy, react.

Installing and connecting Mnemosyne OS

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Mnemosyne OS:

  • No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 31, 2026, the Mnemosyne-OS/Mnemosyne-Neural-OS repository has 20 stars and 2 forks, with 0 open issues. It has more stars than 38% of the servers in the directory. It received changes this month. Version published in the registry: 2.1.3 (October 17, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Context7Context7 : 63.6K63.6KHindsightHindsight : 53.4K53.4KCogneeCognee : 32.7K32.7KSkill SeekersSkill Seekers : 15.2K15.2KHonchoHoncho : 7.8K7.8KBasic memoryBasic memory : 4.3K4.3KNoteDiscoveryNoteDiscovery : 2.8K2.8KMemantoMemanto : 2.3K2.3KMnemosyne OSMnemosyne OS : 2020
GitHub stars of the most followed servers in the category (log scale); Mnemosyne OS in orange. Checked October 25, 2026.

Verdict

Mnemosyne OS is a reasonable choice; check the points below before connecting it.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Listed in the official MCP registry

Limitations

  • No licence declared

Avoid if…

  • Company use without the author's agreement

Frequently asked questions

How do I install Mnemosyne OS?

Mnemosyne OS is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Mnemosyne-OS/Mnemosyne-Neural-OS.

Is Mnemosyne OS free?

The code is public but has no declared licence: it is not formally free to reuse.

Is Mnemosyne OS safe?

Points to watch: no licence. Give it minimum rights and approve sensitive actions.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Mnemosyne OS?

In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score