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

Compound Memory

by chinweversion 0.5.12i★ 1iRuns on your computer
Registry nameio.github.chinwe/compound-memory

How to install

Overview

Description from the maker (original English)

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

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

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

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Compound Memory key (sign up on the maker’s site, may cost money) · 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. Sign up and create a Compound Memory key

    Open the maker’s site, sign up and create an API key for the next step. It may cost money.

    How to get a key is in the maker’s README below

  3. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  4. Paste these settings and save the file

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

    Paste the key only into the app’s field, never into a chat or to anyone

  5. Quit Claude and open it again

  6. Try it

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

    ✓ If Claude says it is using Compound Memory or shows a Compound Memory 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 Compound Memory yet

Compound Memory 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 Compound Memory

  • You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
  • You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
  • You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)

B · Others in Search & AI memory 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

You need a Compound Memory key (sign up on the maker’s site, may cost money) · 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. Sign up and create a Compound Memory key

    Open the maker’s site, sign up and create an API key for the next step. It may cost money.

    How to get a key is in the maker’s README below

  3. Open Terminal

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

  4. Paste this command and press Enter

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

    Replace “your-value” with your key before pressing Enter

    Paste the key only into the app’s field, never into a chat or to anyone

  5. Type /mcp in Claude Code

    You should see Compound Memory listed as connected

  6. Try it

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

    ✓ If Claude Code says it is using Compound Memory or shows a Compound Memory 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

You need a Compound Memory key (sign up on the maker’s site, may cost money) · 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. Sign up and create a Compound Memory key

    Open the maker’s site, sign up and create an API key for the next step. It may cost money.

    How to get a key is in the maker’s README below

  3. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  4. Fill in your key

    In the Compound Memory settings, COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID is empty; add your key and save

    Paste the key only into the app’s field, never into a chat or to anyone

  5. Open the AI chat in Cursor in Agent mode

  6. Try it

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

    ✓ If Cursor says it is using Compound Memory or shows a Compound Memory 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

You need a Compound Memory key (sign up on the maker’s site, may cost money) · 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. Sign up and create a Compound Memory key

    Open the maker’s site, sign up and create an API key for the next step. It may cost money.

    How to get a key is in the maker’s README below

  3. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  4. Fill in your key

    In the Compound Memory settings, COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID is empty; add your key and save

    Paste the key only into the app’s field, never into a chat or to anyone

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

  6. Try it

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

    ✓ If VS Code says it is using Compound Memory or shows a Compound Memory 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 Compound Memory💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add 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"
      }
    }
  }
}

Values you fill in

  • 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…

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

At a glance

Downloads per weeki
135/wk
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
0.5.12
Published to registryi
Oct 30, 2026
Code last changedi
Oct 31, 2026
Maker
chinwe
Packages
pypi: compound-memory
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 11, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed 11 days ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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 Search & AI memoryi

  • More stars than 75% of the other 5875 servers in this category
  • Published to the registry more recently than 76% of the other 5875 servers in this category
  • Basic checks equal to or better than 100% of the other 5875 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 Compound Memory safe?

It passed 2 of 2 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 11 days ago, and the latest version (0.5.12) reached the registry 12 days 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: Ruflo, Context7, Metabase

Alternatives

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

Ruflo

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

by ruvnetWidely used↓ 74.3K/wk★ 81.4KUpdated today

Runs on your computer

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.4KUpdated yesterday

Computer or cloud

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

by metabaseWidely used★ 50.3KUpdated 6 months ago

Runs in the cloud

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.

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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