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MemoryGuard

作者:MerakOsiris版本 0.7.15i★ 4i在你的电脑上运行
注册名称io.github.MerakOsiris/memoryguard

安装方法

概览

作者提供的说明(英文原文)

Local-first governed MCP memory backend for coding agents.

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "memoryguard": {
          "command": "uvx",
          "args": [
            "agent-memguard",
            "-m",
            "memoryguard.mcp_server"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 MemoryGuard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 MemoryGuard,或回答中出现 MemoryGuard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 MemoryGuard

MemoryGuard 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 MemoryGuard 的应用

  • 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)

B · 开发者工具 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add memoryguard -- uvx agent-memguard -m memoryguard.mcp_server
  4. 在 Claude Code 中输入 /mcp

    应能看到 MemoryGuard 在列表中并显示已连接

  5. 试一试

    用 MemoryGuard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 MemoryGuard,或回答中出现 MemoryGuard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 MemoryGuard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 MemoryGuard,或回答中出现 MemoryGuard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 MemoryGuard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 MemoryGuard,或回答中出现 MemoryGuard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 MemoryGuard 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add 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"
      ]
    }
  }
}

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
60/周
连接方式
在你的电脑上运行
最新版本i
0.7.15
发布到注册中心i
2026年9月30日
代码最后更新i
2026年9月30日
作者
MerakOsiris
软件包
pypi: agent-memguard
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

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

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 MerakOsiris 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于42天前

  • ✓ 通过

    有许可证

    使用 MIT

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5759 个服务器的 83%
  • 发布到注册中心的时间比此分类中其他 5759 个服务器的 45% 更新
  • 基础检查结果等于或优于此分类中其他 5759 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

MemoryGuard 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于42天前,最新版本(0.7.15)于42天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:REA, Netdata, Front-End Checklist

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

REA

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

作者:morluto广泛使用↓ 38.9万/周★ 45.1万17天前更新

在你的电脑上运行

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

作者:netdata广泛使用★ 8.1万7天前更新

在云端运行

Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

作者:thedaviddias广泛使用★ 7.5万37天前更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

#

只显示了开头部分;其余内容请在仓库中阅读