mcp-memory-multiuser

mcp-memory-multiuser is a skill for Claude Code, Codex from internetyev/cross-agent-memory-kit. It costs 143 tokens per session (1,412 once invoked), scanned A, original, MIT.

A memory setup for one agent account shared by several people, with separate private memory for each person and a shared store for team or family information.

In plain words
What is it for?
Use it when recalling or saving information, by searching both the private and shared stores and placing new memories in the correct one.
Why use it?
It keeps private memories isolated while still allowing everyone to recall shared decisions and conventions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when recalling or saving information, by searching both the private and shared stores and placing new memories in the correct one.

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Install with agentmods
npx agentmods add skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add internetyev/cross-agent-memory-kit --skill mcp-memory-multiuser
Clone the repo
git clone --depth 1 https://github.com/internetyev/cross-agent-memory-kit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mcp-memory-multiuser

README.md
[![agentmods](https://agentmods.dev/badge/skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser/github.svg)](https://agentmods.dev/skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser)
Your own site
<a href="https://agentmods.dev/skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser"><img src="https://agentmods.dev/badge/skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mcp-memory-multiuser

Your own site · 80×15
<a href="https://agentmods.dev/skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser"><img src="https://agentmods.dev/badge/skills/internetyev/cross-agent-memory-kit/mcp-memory-multiuser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.01412
Opus 5.5 $0.00057 $0.00565
Sonnet 5.5 $0.00029 $0.00282
Haiku 4.5 $0.00014 $0.00141

Measured 1mo ago against content hash 04a77faebbcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-memory-multiuser scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/mcp-memory-multiuser/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Memory Query - multi-user (shared account)

This setup has two memory servers, configured because one agent account is shared by several people:

Server Tools What it holds
memory-shared mcp__memory-shared__* Team/family-wide memory everyone sees
memory-private mcp__memory-private__* This person's private memory only

Hard isolation: the two servers point at separate databases with separate tokens. This person physically cannot read anyone else's private store, and others cannot read theirs. Privacy is enforced by the database boundary, not by tags. The owner:<person> / scope:<private|shared> tags only describe a memory's intended audience.

If you only see one set of mcp__memory__* tools (no -shared / -private suffix), this is a single-user install - use the mcp-memory-query skill instead.


Reading: query BOTH stores, then merge

For any recall ("what do you remember about X", "find memories about X", "check your memory"), search both servers and combine the results:

  1. mcp__memory-private__memory_search with the user's topic.
  2. mcp__memory-shared__memory_search with the same topic.
  3. Merge, de-duplicate, and present together. Label each hit with its origin so the user knows what is private vs shared:
    • Private hit -> tag it (private).
    • Shared hit -> tag it (shared - visible to the whole team/family).

Use the same call conventions as the single-user skill:

  • query: the topic as a short noun phrase.
  • limit: 10 each by default; raise to 20-30 for a broad sweep.
  • quality_boost: 0.3 when precision matters.
  • max_response_chars: 30000 when result sets may be large.

For mistake notes / known pitfalls before a task, check mcp__memory-private__mistake_note_search first, then mcp__memory-shared__mistake_note_search.

Presentation:

Found N memories about "[topic]":

Private (only you):
1. [fact] - Tags / Type / Stored
Shared (whole team/family):
1. [fact] - Tags / Type / Stored

[If nothing found]: No memories stored about "[topic]" in your private or the
shared store. Want me to save one? (I'll keep it private unless you say it's for
everyone.)

Read the full file on GitHub · 144 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 144 lines · 143 tokens per session scan A 04a77faebbcd

Subscribe to this mod's changes

mcp-memory-multiuser is a skill published in the GitHub repository internetyev/cross-agent-memory-kit (9 stars, last pushed 4mo ago), licensed MIT. It adds 143 tokens to every session and 1,412 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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