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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Compound Memory

作者:chinwe版本 0.5.12i★ 1i在你的电脑上运行
注册名称io.github.chinwe/compound-memory

安装方法

What it does

Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 搜索与 AI 记忆

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 Compound Memory 的密钥(在开发者网站创建) · 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. 注册并创建 Compound Memory 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    获取密钥的方法见下方开发者的 README

  3. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  4. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "compound-memory": {
          "command": "uvx",
          "args": [
            "compound-memory"
          ],
          "env": {
            "COMPOUND_MEMORY_ROOT": "your-value",
            "COMPOUND_MEMORY_AGENT_ID": "your-value"
          }
        }
      }
    }

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 退出 Claude 再重新打开

  6. 试一试

    用 Compound Memory 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 Compound Memory,或回答中出现 Compound Memory 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 Compound Memory

Compound Memory 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 Compound Memory 的应用

  • 需要 Compound Memory 的密钥(在开发者网站创建) · 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 Compound Memory 的密钥(在开发者网站创建) · 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要 Compound Memory 的密钥(在开发者网站创建) · 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要 Compound Memory 的密钥(在开发者网站创建) · 需要先在电脑上安装 Python (uv)(只需一次)

B · 搜索与 AI 记忆 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 Compound Memory 的密钥(在开发者网站创建) · 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. 注册并创建 Compound Memory 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    获取密钥的方法见下方开发者的 README

  3. 打开终端

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

  4. 粘贴这条命令并按 Enter

    claude mcp add --scope user compound-memory --env COMPOUND_MEMORY_ROOT=your-value --env COMPOUND_MEMORY_AGENT_ID=your-value -- uvx compound-memory

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Claude Code 中输入 /mcp

    应能看到 Compound Memory 在列表中并显示已连接

  6. 试一试

    用 Compound Memory 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 Compound Memory,或回答中出现 Compound Memory 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 Compound Memory 的密钥(在开发者网站创建) · 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. 注册并创建 Compound Memory 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    获取密钥的方法见下方开发者的 README

  3. 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

  4. 填写你的密钥

    在 Compound Memory 的设置中,COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Cursor 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 Compound Memory 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 Compound Memory,或回答中出现 Compound Memory 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 Compound Memory 的密钥(在开发者网站创建) · 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. 注册并创建 Compound Memory 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    获取密钥的方法见下方开发者的 README

  3. 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

  4. 填写你的密钥

    在 Compound Memory 的设置中,COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 VS Code 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 Compound Memory 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 Compound Memory,或回答中出现 Compound Memory 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 Compound Memory 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 --scope user compound-memory --env COMPOUND_MEMORY_ROOT=your-value --env COMPOUND_MEMORY_AGENT_ID=your-value -- uvx compound-memory

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "compound-memory": {
      "command": "uvx",
      "args": [
        "compound-memory"
      ],
      "env": {
        "COMPOUND_MEMORY_ROOT": "your-value",
        "COMPOUND_MEMORY_AGENT_ID": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "compound-memory": {
      "command": "uvx",
      "args": [
        "compound-memory"
      ],
      "env": {
        "COMPOUND_MEMORY_ROOT": "your-value",
        "COMPOUND_MEMORY_AGENT_ID": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "compound-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "compound-memory"
      ],
      "env": {
        "COMPOUND_MEMORY_ROOT": "your-value",
        "COMPOUND_MEMORY_AGENT_ID": "your-value"
      }
    }
  }
}

需要你填写的值

  • COMPOUND_MEMORY_ROOT env
    Store root directory. A leading ~ or $HOME/${HOME} is expanded; unset or blank falls back to $HOME/.agents/memory
  • COMPOUND_MEMORY_AGENT_ID env
    Stable host agent id (e.g. agent-claude). Required for a multi-agent store: process identity wins over a self-reported source. Unset is only for a single trusted caller; stats.attestation.warning and…

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
135/周
连接方式
在你的电脑上运行
最新版本i
0.5.12
发布到注册中心i
2026年10月30日
代码最后更新i
2026年10月31日
作者
chinwe
软件包
pypi: compound-memory
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12日

  • ✓ 通过

    作者与仓库一致

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

  • ✓ 通过

    仍在维护

    代码最后更新于12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。

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与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 6005 个服务器的 76%
  • 发布到注册中心的时间比此分类中其他 6005 个服务器的 73% 更新
  • 基础检查结果等于或优于此分类中其他 6005 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

Compound Memory 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12天前,最新版本(0.5.12)于13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:Context7, Codebase Memory, Ruflo

同类别的其他选择

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

Context7

Up-to-date docs for AI agents

作者:upstash广泛使用↓ 125万/周★ 6.5万今天更新

电脑或云端

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

作者:DeusData广泛使用↓ 1.7万/周★ 4.9万26天前更新

在你的电脑上运行

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

作者:ruvnet广泛使用↓ 7.4万/周★ 8.1万 整个仓库的星标昨天更新

在你的电脑上运行

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。

compound-memory

English | 简体中文

Local-first shared memory for multiple AI agents — plain Markdown files that compound in value as they are used. Memory lives on your disk as frontmatter-annotated Markdown, gets stronger with every confirmed use, decays into a revivable archive when neglected, and auto-commits to a local git history on every write.

Why

Every agent session starts from zero: preferences get re-asked, project conventions get re-discovered, the same pitfall gets hit twice. compound-memory gives all your agents one shared store:

  • Local-first — nothing leaves your machine; memories are human-readable Markdown files, not rows in an opaque database.
  • MCP-native — exactly 5 tools (memory_write / memory_search / memory_get / memory_link / memory_feedback) as the single read-write boundary; works with any MCP host (Claude Code, ZCode, WorkBuddy, …), plus a full CLI for operations.
  • Compounding — confirmed usage raises confidence, related memories are recalled as neighbors, validation from a *different* host counts as independent evidence, and distillation merges many raw memories into fewer, denser ones.
  • Multi-agent by design — a _shared namespace everyone reads, plus agent-* private namespaces each host owns; cross-host validation is tracked per host.
  • Optional semantic recall — vector search via sqlite-vec + BGE embeddings, with automatic graceful fallback to pure lexical search when unavailable. Override the model with COMPOUND_MEMORY_EMBEDDING_MODEL (default Xenova/bge-small-zh-v1.5) and COMPOUND_MEMORY_EMBEDDING_DIM (default 512); changing either is an ops action and needs an explicit rebuild-index.

Quick Start

For AI agents

Paste this one-liner into your coding agent (Claude Code, Cursor, ZCode, …) and let it do the rest:

Set up compound-memory (https://github.com/chinwe/compound-memory) — a local-first multi-agent shared memory (MCP server + CLI) — on this machine. Do not clone the repo for a normal install. Initialize the store with `uvx --from compound-memory compound-memory init` (defaults to ~/.agents/memory). Register its stdio MCP server in this host's MCP config: command `uvx`, args `--from compound-memory compound-memory-server`, env `COMPOUND_MEMORY_ROOT=$HOME/.agents/memory` and `COMPOUND_MEMORY_AGENT_ID=agent-<your-host-id>`. Verify by calling `memory_search` and expecting a `{"hits": [...]}` response; if the host needs a restart to load MCP servers, tell me. Use `uv run --directory <repo>` only when developing against a local checkout. Short English setup and the search → feedback → write loop: docs/agent-integration.en.md. Full per-host configs: docs/agent-integration.md.
For humans
1. Install

Python ≥ 3.11. The default does not clone the repo:

# Default: PyPI. Hosts launch the MCP server with

uvx --from compound-memory compound-memory-server

Optional CLI on PATH:

uv tool install compound-memory # or: pip install compound-memory

Developer / local checkout only — not the default host launch

git clone https://github.com/chinwe/compound-memory.git cd compound-memory && uv sync --extra dev

2. Initialize your store

Defaults to ~/.agents/memory; override with the COMPOUND_MEMORY_ROOT env var. A leading ~ or $HOME is expanded; a blank override falls back to the default.

uvx --from compound-memory compound-memory init

after uv tool install: compound-memory init

3. Wire it into your MCP host (recommended)

This lets your everyday agents read/write the shared store automatically. No repo path:

{

"mcpServers": { "compound-memory": { "type": "stdio", "command": "uvx", "args": ["--from", "compound-memory", "compound-memory-server"], "env": { "COMPOUND_MEMORY_ROOT": "$HOME/.agents/memory", "COMPOUND_MEMORY_AGENT_ID": "agent- " } } } }

uvx takes the package name; the server console script is compound-memory-server, so --from is required. If uvx is not on PATH, set command to the absolute path ~/.local/bin/uvx. COMPOUND_MEMORY_AGENT_ID is required for any multi-agent store: the process identity wins over whatever the model claims, so a forged source cannot write another host's namespace or inflate cross-host validation. Unset or blank is a hard failure for shared _shared use: stats and doctor exit 1 (the diagnosis is still printed). MCP tools keep running, and the server logs the same warning at startup. Without the id, identity is self-reported and can be forged.

A local checkout is the developer path, not a second default: command uv, args ["run", "--directory", " ", "compound-memory-server"] after uv sync --extra dev.

Verify: ask your agent to call memory_search (any keyword) — a {"hits": [...]} response means you're connected. Or run uvx --from compound-memory compound-memory doctor (exit 0 when COMPOUND_MEMORY_AGENT_ID is set and the store is writable; exit 1 when it is unset or blank).

Claude Code plugin

Requires Claude Code and uv (uvx on PATH). This repository hosts a self-hosted marketplace. Submitting the plugin to Anthropic's official Directory is out of scope.

claude plugin marketplace add chinwe/compound-memory

claude plugin install compound-memory@compound-memory

That installs integrations/claude, which launches uvx --from compound-memory compound-memory-server with COMPOUND_MEMORY_AGENT_ID=agent-claude (override that env var in the host if you need a different id). A SessionStart hook adds a short reminder on new sessions; verify and disable steps are in the plugin README. Those marketplace and plugin files are not in the PyPI sdist or wheel: MANIFEST.in prunes them, and scripts/wheel_smoke.sh checks the built artifacts.

WorkBuddy / CodeBuddy plugin

Requires WorkBuddy or CodeBuddy and uv (uvx on PATH). This repository hosts a self-hosted marketplace at .codebuddy-plugin/marketplace.json.

/plugin marketplace add chinwe/compound-memory

/plugin install compound-memory@compound-memory

That installs integrations/workbuddy, which launches the same PyPI server with COMPOUND_MEMORY_AGENT_ID=agent-workbuddy. A SessionStart hook prints a short hard-rule reminder on new sessions and does not read the store. The Claude marketplace file is unchanged.

ZCode plugin

Requires the ZCode desktop app and uv (uvx on PATH). ZCode reads this repository's .claude-plugin/marketplace.json as its marketplace catalog, so no separate marketplace file is needed.

Clone the repository, then in ZCode: Plugin Marketplace → Add → Add Plugin Marketplace, paste the clone path (the directory containing .claude-plugin/), and install Compound Memory (ZCode) under Personal → compound-memory. That installs integrations/zcode, which launches the same PyPI server with COMPOUND_MEMORY_AGENT_ID=agent-zcode, plus a SessionStart hard-rule reminder and the short skill. The plugin's MCP server is named compound-memory; if ~/.zcode/cli/config.json already registers a server with that name (the hand-written path, §3 of docs/agent-integration.md), keep only one of the two.

4. Next step

Inject the usage protocol from skills/compound-memory/SKILL.md into your host (the search → feedback → write loop). The short English version is docs/agent-integration.en.md; the full protocol is docs/agent-integration.md §6.

Demo

One full loop: write → search → feedback (with cross-host first-validation bonus) → store health. Real output from v0.4.0, long payloads trimmed:

uv run compound-memory init
{ "ok": true, "root": "~/.agents/memory" }

Two different hosts each write one stable fact (new memories start at confidence 0.5, uses 0):

uv run compound-memory write \

"Deploy serverless functions on this platform times out at 10s — keep handlers under that budget" \ fact agent-claude --key vercel-timeout

{

"id": "20261007_86adf1", "ns": "_shared", "type": "fact", "source": "agent-claude", "content": "Deploy serverless functions on this platform times out at 10s — keep handlers under that budget", "confidence": 0.5, "uses": 0, "key": "vercel-timeout", "validated_by": [] ... }

uv run compound-memory write \

"User prefers concise replies with tables and code examples" \ fact agent-zcode --key user-style

Search ranks by score (--explain attaches per-hit ranking components for debugging):

uv run compound-memory search "serverless timeout"
[

{ "id": "20261007_86adf1", "score": 1.0292, "similarity": 1.0, "type": "fact", "source": "agent-claude", "content": "Deploy serverless functions on this platform times out at 10s — keep handlers under that budget", "neighbors": [] }, { "id": "20261007_6a0c0c", "score": 0.5211, "similarity": 0.4919, "type": "fact", "source": "agent-zcode", "content": "User prefers concise replies with tables and code examples", "neighbors": [] } ]

A different host used this memory and reported it back with the default success outcome — uses +1, conf +0.1; and since the reporter agent-workbuddy ≠ source agent-claude, the first cross-host validation adds another +0.15:

uv run compound-memory feedback 20261007_86adf1 agent-workbuddy
{

"id": "20261007_86adf1", "confidence": 0.75, "uses": 1, "last_used": "2026-10-07", "validated_by": ["agent-workbuddy"], "evidence": { "success_count": 1, "failure_count": 0, "contradiction_count": 0, "last_verified": "2026-10-07", "recent": [{ "date": "2026-10-07", "agent": "agent-workbuddy", "outcome": "success" }] } ... }

Store health at a glance (fixed-bucket histograms, liveness, distillation yield):

uv run compound-memory stats
{

"total": 2, "archived": 0, "active": 2, "avg_confidence": 0.625, "by_type": { "fact": 2 }, "by_ns": { "_shared": 2 }, "review_queue_entries": 0, "uses_histogram": { "0": 1, "1-2": 1, "3-5": 0, "6-9": 0, "10+": 0 }, "confidence_histogram": { "<0.3": 0, "0.3-0.6": 1, "0.6-0.8": 1, "0.8-1.0": 0 }, "recent_feedback_7d": 1, "cross_validated": 0, "distilled_total": 0, "distilled_recent_7d": 0 }

Current stats also includes retrieval (mode: vector or lexical, plus reason when the vector channel is off), attestation (attested, plus a warning when COMPOUND_MEMORY_AGENT_ID is unset), and expired_active (active-area memories whose valid_until has passed; 0 in this snapshot). cross_validated counts memories whose validated_by lists at least two distinct agents — the single cross-host validation above correctly leaves it at 0. memory_search carries the same retrieval object. CLI search stays a bare array. CLI stats exits 1 when COMPOUND_MEMORY_AGENT_ID is unset or blank; doctor is the one-page check (attestation, retrieval, write lock, git) and uses the same rule, plus root / lock / git failures. MCP tools do not stop f

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