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Cogmemory MCP

by skylarng89version 1.15.1i★ –iRuns on your computer
Registry nameio.github.skylarng89/cogmemory-mcp

Install

Overview

Description from the maker (original English)

CogMemory MCP Server — Unified context subsystems for AI coding agents

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: Other

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx 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": {
    "cogmemory": {
      "command": "npx",
      "args": [
        "-y",
        "cogmemory-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cogmemory -- npx -y cogmemory-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "cogmemory": {
      "command": "npx",
      "args": [
        "-y",
        "cogmemory-mcp"
      ]
    }
  }
}

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": {
    "cogmemory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "cogmemory-mcp"
      ]
    }
  }
}

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.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account skylarng89, 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 Otheri

  • More stars than 0% of the other 32696 servers in this category
  • Published to the registry more recently than 48% of the other 32696 servers in this category
  • Basic checks equal to or better than 100% of the other 32696 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 Cogmemory MCP 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 (1.15.1) reached the registry 44 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, LexPact UK Contracts

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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.

CogMemory MCP Server

A unified Model Context Protocol server providing four context subsystems for AI coding agents:

  1. Memory — decisions, conventions, errors, active context, changelog, plan, tasks, sessions
  2. Knowledge Graph — entities, relations, observations
  3. Specs — long-form documents (PRD/SRS), optionally linked to a KG entity
  4. Code Graph — static structural graph (symbols/edges) + named execution traces + AI-generated annotations

Storage: SQLite via better-sqlite3. By default, each clone gets its own database under ~/.cogmemory/projects/.


Quick Start

Install

Option A — npx (recommended, always latest):

npx -y cogmemory-mcp@latest

Option B — Global install:

npm install -g cogmemory-mcp

cogmemory-mcp

Option C — pnpm dlx:

pnpm dlx cogmemory-mcp@latest

Option D — From source (developers):

git clone https://github.com/skylarng89/cogmemory-mcp.git

cd cogmemory-mcp pnpm install pnpm run build

Native Module Requirements

CogMemory depends on better-sqlite3 and tree-sitter, which compile native modules on install. You need:

  • Python 3 (for node-gyp)
  • C/C++ compiler (gcc/g++ on Linux, Xcode Command Line Tools on macOS, Visual Studio Build Tools on Windows)
  • `make` (Linux/macOS, installed by default)

Most platforms have prebuilt binaries available, so compilation is usually skipped on:

  • Linux x64 / arm64
  • macOS x64 / arm64
  • Windows x64

If installation fails, see Troubleshooting below.


IDE / Client Configuration

VS Code

Add to .vscode/mcp.json (workspace-scoped):

{

"servers": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

Or use --workspace for multi-root support (rarely needed — see Workspace Resolution):

{

"servers": { "cogmemory-frontend": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest", "--workspace", "/path/to/frontend"] }, "cogmemory-backend": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest", "--workspace", "/path/to/backend"] } } }

Zero-config default: if you omit --workspace, CogMemory discovers the

project automatically from the working directory (git root first, then the

nearest .cogmemory/ parent). One server entry is enough for all projects —

each repo gets its own memory bucket. Only pin --workspace for monorepo

sub-root targeting.

Cursor

Add to .cursor/mcp.json:

{

"mcpServers": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

Claude Desktop

Add to ~/.config/claude/claude_desktop_config.json (Linux/macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

Claude Code

Add to ~/.claude/mcp.json (user-level) or .claude/mcp.json (project-level):

{

"mcpServers": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

Cline

In the Cline extension settings, add an MCP server:

  • Name: cogmemory
  • Command: npx -y cogmemory-mcp@latest

Or in cline_mcp_settings.json:

{

"mcpServers": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

Windsurf

MCP settings → Add server:

{

"mcpServers": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

OpenCode

Add to opencode.json:

{

"mcp": { "cogmemory": { "command": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

Zed

Add to Zed settings (settings.json):

{

"context_servers": { "cogmemory": { "binary": "npx", "args": ["-y", "cogmemory-mcp@latest"] } } }

MCP Registry

CogMemory is published to the MCP Registry. Registry-aware clients can discover and install it automatically.


Scope Configuration

CogMemory resolves scope in priority order:

  1. `.cogmemory/config.json` in the workspace root (project-level override):
   { "scope": "project" }
  1. Environment variable: COGMEMORY_SCOPE=project, global, or workspace
  2. User-level fallback: ~/.cogmemory/config.json (scope settings only)
  3. Default: `project` — one database per clone under ~/.cogmemory/projects/

Default is clone-specific. Each clone receives a UUID in .cogmemory/config.json and stores its database at ~/.cogmemory/projects/memory- .db. The UUID, not the folder name or repository origin, identifies the clone. Use { "scope": "global" } or COGMEMORY_SCOPE=global to retain the legacy shared database, or { "scope": "workspace" } for a database inside the repository.

Paths
ScopeDatabase Path
project~/.cogmemory/projects/memory- .db
workspace /.cogmemory/memory.db
global~/.cogmemory/global.db

Upgrading? If a workspace has an existing memory.db but no config file, CogMemory logs a stderr advisory when the project default bypasses it — add { "scope": "workspace" } to that project's .cogmemory/config.json to keep using it. Existing data in global.db remains available when COGMEMORY_SCOPE=global is explicitly selected; it is not silently repartitioned.


Project Identity

Every project gets a stable, opaque slug (UUID) stored in .cogmemory/config.json under project_id. This slug — not the folder path or name — is the project's identity. All memories (decisions, conventions, errors, sessions, code graph, etc.) are stamped with a project_id foreign key, so:

  • Renames and moves are safe. Moving a project folder does not sever access to its memories — the slug travels with the config file, and the path is metadata only.
  • Fixed-path configs work. IDEs/clients that cannot expand ${workspaceFolder} can point at a single shared database path; each project's memories remain isolated by slug.
  • Clone-specific project scope is the default. Each clone opens a separate database, so concurrent clients cannot switch one shared process between unrelated project rows.
  • Global scope remains available. ~/.cogmemory/global.db can hold many projects, with every read/write implicitly scoped to the active project's slug.
.cogmemory/config.json & Git

Keep .cogmemory/config.json gitignored so each clone gets its own identity on first run. Copying or committing the file intentionally shares its UUID; starting or branching a chat does not create a new project identity.

Project Management Tools
ToolPurpose
list_projectsAll projects with row counts, last-seen timestamps, staleness flags
rename_projectChange a project's display label (slug is immutable)
prune_projectsPermanently delete a project and all of its rows (requires confirm)
switch_projectRe-resolve the active project at runtime from a workspace root

cogmemory_status reports workspace_root, root_path_hint, resolution_source (override | git-root | dotcogmemory | cwd-fallback | runtime-switch), and active_project: { id, slug, label }, plus per-table counts in verbose mode.

Runtime Project Switching

If your client pins a fixed --workspace/cwd that doesn't match the repo you're actually working in (e.g. an agent opened a different repository mid-session), call switch_project with the target repo's absolute root:

{ "root_dir": "/mnt/repos/my-project" }

The target workspace's configured scope, database, UUID, numeric project ID, and root switch together after initialization succeeds. Status, indexing, and source snippets use the new root. An asynchronous call already in progress finishes using its original context. Invalid paths, corrupt configuration, or database initialization failures leave the previous context usable.

Branched Chats and Stale IDs

At the start of a new or branched chat:

  1. Call cogmemory_status and compare workspace_root with the actual workspace. Chat history and cached numeric IDs are not authoritative.
  2. If the root differs, call switch_project with the intended absolute root, then fetch memory again. Do not clear the identity file to resolve a client workspace mismatch.
  3. Reuse the workspace UUID. Start a new memory session with start_session if needed; a chat branch is not a new project.

Tool JSON responses include project_identity: { id, slug, workspace_root }. Tools accept optional expected_project_id, containing the UUID slug, to reject stale context before reading or writing. This is especially useful because numeric IDs can coincide across separate databases. On PROJECT_MISMATCH, check status and switch to the intended root before retrying. Existing calls without the optional guard remain compatible. CogMemory cannot infer a chat's intended workspace when the client supplies neither a correct launch root nor a switch request.

Optional stale session/plan links on memory writes are ignored with a response warning; the memory still saves under the active project. Explicit session reads and updates are project-scoped and return a not-found response with recovery instructions for a stale session ID.

Recovering Earlier Identity Drift

Earlier project-scope startup could choose memory-A.db and then persist UUID B inside that database and the workspace config. Startup now keeps one UUID throughout initialization, serializes concurrent initialization, and publishes config changes atomically.

For existing affected stores, startup inspects project databases read-only. If exactly one stored identity matches the UUID or exact workspace root, it reuses that database in place, preserving its row IDs and memories. The config records project_database_id as the UUID from the existing database filename; this can legitimately differ from project_id. No database is renamed, merged, or deleted.

If several candidates match, PROJECT_IDENTITY_AMBIGUOUS lists { databaseId, slug } pairs and leaves the config unchanged. Select the intended pair in .cogmemory/config.json, preserving other settings:

{

"scope": "project", "project_id": " ", "project_database_id": " " }

Then restart the MCP server, or retry switch_project if it is already running. The selected database must contain that UUID. Other candidate databases remain available; combining fragmented histories is a separate, explicit operation.

Malformed JSON, invalid UUIDs, and invalid local scopes produce PROJECT_CONFIG_INVALID instead of silently replacing identity. Restore a valid config from backup. Initialization locks have a bounded wait and report PROJECT_BUSY; if a process crashed while holding a lock, inspect the reported directory's owner.json, confirm that owner has exited, remove only that abandoned lock directory, and retry. Never delete an active process's lock.

Run pnpm test:identity for isolated regression tests of restart/branch continuity, concurrent processes, recovery, switching, stale IDs, UUID guards, and in-flight calls.

Multi-Root / Monorepos

Git-root discovery takes precedenc

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

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