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PopNx MCPMCP servers for people who use AI · explained in plain words

MemoryGuard

by irisxc4version 0.7.12i★ 4iRuns on your computer
Registry nameio.github.irisxc4/memoryguard

How to install

What it does

Local-first governed MCP memory backend for coding agents.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "memoryguard": {
          "command": "uvx",
          "args": [
            "agent-memguard",
            "-m",
            "memoryguard.mcp_server"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use MemoryGuard and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using MemoryGuard or shows a MemoryGuard tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect MemoryGuard yet

MemoryGuard runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect MemoryGuard

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user memoryguard -- uvx agent-memguard -m memoryguard.mcp_server
  4. Type /mcp in Claude Code

    You should see MemoryGuard listed as connected

  5. Try it

    Use MemoryGuard and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using MemoryGuard or shows a MemoryGuard tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use MemoryGuard and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using MemoryGuard or shows a MemoryGuard tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use MemoryGuard and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using MemoryGuard or shows a MemoryGuard tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use MemoryGuard💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user memoryguard -- uvx agent-memguard -m memoryguard.mcp_server

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "memoryguard": {
      "command": "uvx",
      "args": [
        "agent-memguard",
        "-m",
        "memoryguard.mcp_server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "memoryguard": {
      "command": "uvx",
      "args": [
        "agent-memguard",
        "-m",
        "memoryguard.mcp_server"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "memoryguard": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-memguard",
        "-m",
        "memoryguard.mcp_server"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
60/wk
Connection
Runs on your computer
Latest versioni
0.7.12
Published to registryi
Sep 12, 2026
Code last changedi
Sep 30, 2026
Maker
irisxc4
Packages
pypi: agent-memguard
Website
github.com
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account MerakOsiris, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed last month

  • ✓ Pass

    Has a licence

    Uses MIT

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Developer toolsi

  • More stars than 83% of the other 5878 servers in this category
  • Published to the registry more recently than 36% of the other 5878 servers in this category
  • Basic checks equal to or better than 100% of the other 5878 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MemoryGuard safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed last month, and the latest version (0.7.12) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: REA, GitHub, Serena MCP: the IDE for your agent

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

by morlutoWidely used↓ 388.7K/wk★ 457.7KUpdated 2 days ago

Runs on your computer

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.4KUpdated 11 days ago

Computer or cloud

Serena MCP: the IDE for your agent

A powerful toolkit for coding, providing semantic retrieval and editing capabilities.

by oraiosWidely used↓ 35.2K/wk★ 31.4KUpdated 6 months ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MemoryGuard

Governed shared memory for coding agents.

Local-first MCP memory with automatic organization, scoped rules, evidence, and rollback.

中文文档

Let agents write without turning shared memory into an unreviewed pile.

MemoryGuard organizes each write, preserves the evidence behind changes, and

keeps governance decisions reversible.

**No account. No remote server. No remote telemetry. Local-only usage telemetry

is optional and stores bounded, privacy-preserving aggregates locally.**

Quick start · Upgrade · Knowledge Library · Architecture · Supported hosts · Privacy and safety

A synthetic governed projection: signals move through memory categories while raw conversation text remains outside the graph.

What's New in v0.7.15

  • Automatic CodeGraph builds: Trusted bootstrap starts a project's first build in a background process. Default and per-project switches persist; disabling automation preserves the graph. Supported file-write events trigger incremental refresh.
  • Clear graph navigation: Switch between a file overview and symbols, filter by file, inspect neighboring relations, and use zoom controls.
  • Bounded temporary storage: Ordinary graph queries read SQLite directly instead of retaining full-database copies. Validation and installation temporary files use the owning project/deployment cache and are cleaned up when the operation ends.

See the v0.7.15 release note and CodeGraph automation details. Reconnect or restart hosts after upgrading and repairing their provider integration.

Earlier governance improvements

v0.7.13 strengthens mandatory-rule replacement and recovery, improves audience-aware identity handling, and improves conflict resolution:

  • Safe mandatory-rule replacement: Replacements validate the final mandatory package against audience matching, canonical rules, deduplication, sensitivity checks, and publication budgets. Equivalent unlocked predecessors retire in the same transaction; failed validation rolls back the complete update. See the replacement and recovery details.
  • Native Agent/group audience matching: Matching and deduplication no longer split the same native audience solely by provider or runtime role. Distinct Agent identities remain separate, and project-scoped audiences retain their project boundaries. Provider repair uses the verified identity for its target provider.
  • Readable, atomic conflict resolution: Conflict views preserve readable peer information, and resolution keeps peer groups intact while applying the selected changes atomically. Ambiguous conflicts remain unresolved.
  • Cursor Hook protection: Cursor MemoryGuard Hooks now use a 30-second timeout, up from 15 seconds, with failClosed: true.

v0.7.14 only corrects release metadata for the GitHub repository rename; it does not change runtime behavior. See the v0.7.14 release note.

See the v0.7.13 release note and release history.

Earlier release details are kept in the Changelog and GitHub release records.

Token evidence and demo

Usage events distinguish measured_cached_input from measured_cache_write_input. measured_cache_coverage.cache_read and cache_write report complete, partial, or unavailable; measured zero remains 0, while missing provider data remains None/unavailable. Character-based estimates remain explicitly labelled estimated mg_deterministic_unit, never provider tokens.

Run the benchmark only against an authorized local workspace:

python scripts/benchmark_usage_telemetry.py --workspace . --window-days 7 --sync

Read the benchmark guide for measured, estimated, derived, and unsupported semantics. Use the demo recording checklist for a sanitized walkthrough. The repository's synthetic graph artwork is not a live product capture; it is not evidence of usage or savings.

Major V2 refactor in v0.6.0

v0.6.0 was a production data-plane refactor, not a storage-only upgrade:

  • Authoritative V2 domains: Memory, Rules, Evidence, Content, Runtime, Projection, Assets, CodeGraph, Skills, and System state are separated into explicit SQLite domains with governed boundaries.
  • Explicit cutover: V1_ACTIVE → V2_BUILDING → V2_READY → V2_ACTIVE is fail-closed; V2 never silently falls back to legacy stores or dual-writes after READY/ACTIVE.
  • Lossless migration: frozen-source preparation uses coherent SQLite online backups, validates source/target evidence, rechecks live-source drift, and preserves V1 data plus migration backups for rollback.
  • Native routing: MCP, CLI, GUI, and Hook surfaces are classified explicitly; the release closed the 233-surface cutover with 138 implemented routes, 95 retired routes, and zero neutral/blocker routes.
  • Governed intelligence: Rule lifecycle and RuleMerge, extraction/enrichment, External MCP import, provider control-plane, conversation history, Knowledge Library, and GUI governance all use the V2 evidence and decision paths.
  • Operational evidence: Reference Audit, per-domain SQLite health, guarded maintenance, rollback evidence, and safe unbound diagnostics are part of readiness and operations.

Why MemoryGuard

Persistent memory solves storage. It does not solve governance.

When several coding agents write into the same context, records become duplicated, stale, contradictory, over-broad, or unsafe to reuse. MemoryGuard sits between coding agents and their shared memory to keep that context usable.

Without governanceWith MemoryGuard
Notes accumulate without a canonical stateWrites are classified, deduplicated, superseded, or surfaced as conflicts
A correction silently destroys the old valueEvidence and supersede chains preserve what changed and why
Tokens and credentials can remain activeSensitive-looking content is quarantined from active memory
Every write needs manual approvalAgents write normally; people review exceptions and outcomes
Raw chat logs leak into future contextConversation history remains a separate, explicitly read evidence archive

System architecture

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flowchart TB Hosts["CODING-AGENT HOSTS Claude Code · Codex · Cursor · TRAE "]:::host Gateway["LOCAL INTEGRATION MCP stdio · redirect rules · lifecycle hooks "]:::gateway

subgraph Core["GOVERNANCE CORE "] direction LR Identity["TRUST identity · scope "]:::core MemoryAPI["MEMORY governed I/O "]:::active Rules["RULES scope · assignment "]:::rule HistoryAPI["HISTORY search · timeline "]:::history Security["SAFETY validate · quarantine "]:::danger

Identity --> MemoryAPI Identity --> Rules Identity --> HistoryAPI MemoryAPI --> Security end

subgraph Stores["LOCAL GOVERNED STORES "] direction LR SharedDB[("V2 DOMAIN STORES Memory · Rules · Evidence · Content ")]:::store HistoryDB[("HISTORY STORE isolated conversations ")]:::historyStore AuditDB[("RECOVERY STORE versions · receipts · backups ")]:::store end

Bootstrap["BOUNDED CONTEXT BOOTSTRAP mandatory rule pack · relevant recall "]:::bootstrap Control["HUMAN CONTROL CLI · desktop governance console "]:::surface

Hosts --> Gateway --> Identity MemoryAPI --> SharedDB Rules --> SharedDB HistoryAPI --> HistoryDB Security --> AuditDB SharedDB --> Bootstrap Control --> Identity

classDef host fill:#12243A,stroke:#38D5C8,color:#EEF4F8,stroke-width:1.4px; classDef gateway fill:#0D3338,stroke:#38D5C8,color:#EEF4F8,stroke-width:2.4px; classDef core fill:#12243A,stroke:#557287,color:#EEF4F8,stroke-width:1.4px; classDef active fill:#0D383A,stroke:#38D5C8,color:#EEF4F8,stroke-width:2px; classDef rule fill:#3B2C18,stroke:#F3B562,color:#EEF4F8,stroke-width:1.8px; classDef history fill:#102F45,stroke:#73C7F5,color:#EEF4F8,stroke-width:1.8px; classDef danger fill:#3A2028,stroke:#EA6A6A,color:#EEF4F8,stroke-width:1.8px; classDef bootstrap fill:#EEF4F8,stroke:#38D5C8,color:#071521,stroke-width:2.4px; classDef store fill:#0B1624,stroke:#7F96A8,color:#EEF4F8,stroke-width:1.4px; classDef historyStore fill:#102436,stroke:#73C7F5,color:#EEF4F8,stroke-width:1.4px; classDef surface fill:#EEF4F8,stroke:#38D5C8,color:#071521,stroke-width:2px;

style Core fill:#081827,stroke:#27445A,stroke-width:1px,color:#EEF4F8 style Stores fill:#081827,stroke:#27445A,stroke-width:1px,color:#EEF4F8 linkStyle default stroke:#557287,stroke-width:1.4px;

Quick start

MCP Registry metadata

This package exposes a local stdio MCP server as io.github.MerakOsiris/memoryguard. Registry metadata is kept in server.json, and the marker above ships with the PyPI package README. Releases are published through GitHub OIDC to PyPI and the official MCP Registry. Verify the current package version and the Registry entry's active/latest state through their live public records.

1. Install
python -m pip install agent-memguard

For the desktop governance console:

python -m pip install "agent-memguard[gui]"
2. Authorize the current project
memoryguard source add .
3. Connect or repair your coding agent

Global provider configuration is rebuilt from the real binding in the canonical user data home. The command is idempotent and removes superseded MemoryGuard project-level overrides after a successful global takeover.

# Repair one provider

memoryguard provider repair claude memoryguard provider repair codex memoryguard provider repair cursor memoryguard provider repair trae

#

Only the beginning is shown; read the rest in the repo