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

Compound Memory

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

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

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

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … 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

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7247 servers in this category
  • Published to the registry more recently than 82% of the other 7247 servers in this category
  • Basic checks equal to or better than 100% of the other 7247 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 1 of 1 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 –, and the latest version (0.5.12) reached the registry 8 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: Context7, Codebase Memory, Exa

Alternatives

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

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

Context7

by upstash

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

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

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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