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Files and documents · MCP server

SuperLocalMemory: MCP server, setup and security

SuperLocalMemory is an open-source MCP server published on GitHub that lets an AI agent recall sourced memories and check answers using local agent memory. Its repository has 257 stars and its last commit is from October 22, 2026 and it is licensed under AGPL-3.0.

Actively maintainedSystem access

What SuperLocalMemory does

According to its repository: “Local-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. SuperLocalMemory is listed under Files and documents, a category of 55 servers in the directory, where it ranks #16 by stars.

Topics declared by the repository: knowledge-graph, local-first, agent-memory, agent-reliability, ai-agents, claude-code.

Installing and connecting SuperLocalMemory

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)
  • npm package (Node.js, usually started with npx)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for SuperLocalMemory:

  • System access: the Files and documents category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.

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 February 5, 2026, the qualixar/superlocalmemory repository has 257 stars and 36 forks, with 3 open issues. It has more stars than 81% of the servers in the directory. It received changes this month. Version published in the registry: 4.2.11 (October 22, 2026).

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

MarkitdownMarkitdown : 191.9K191.9KPuterPuter : 43.9K43.9KFilestashFilestash : 14.8K14.8KRevoGrid DataGrid MCPRevoGrid DataGrid MCP : 3.5K3.5KDocling MCPDocling MCP : 777777MCP filesystem serverMCP filesystem server : 692692Haiku.ragHaiku.rag : 636636MuMu : 436436SuperLocalMemorySuperLocalMemory : 257257
GitHub stars of the most followed servers in the category (log scale); SuperLocalMemory in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Widely followed: 257 stars
  • Listed in the official MCP registry

Avoid if…

  • You cannot isolate the agent (sandbox, container)

Frequently asked questions

How do I install SuperLocalMemory?

SuperLocalMemory is distributed as PyPI package (Python, started with uvx or pip) and 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 qualixar/superlocalmemory.

Is SuperLocalMemory free?

The code is published under the AGPL-3.0 licence and can be used free of charge.

Is SuperLocalMemory safe?

Points to watch: system access. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by qualixar on GitHub. Check who maintains it before giving it access.

What are the alternatives to SuperLocalMemory?

In the same category: Markitdown, Puter, Filestash, and RevoGrid DataGrid MCP. Markitdown and Puter 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