AI & MemoryMCP RegistrynpmB · 73

ariel-memory MCP server

Name: ariel-memory
Author: Cipher208

io.github.Cipher208 · Updated 4mo ago

Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth

At a glance

ariel-memory is an MCP server in the AI & Memory category. It runs locally over stdio via `npx -y mcp-ariel-memory`, and declares no required credentials. It scores B (73/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install ariel-memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install ariel-memory in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add ariel-memory -- npx -y mcp-ariel-memory

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.

How to install ariel-memory in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

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

Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install ariel-memory in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

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

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install ariel-memory in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.ariel-memory]
command = "npx"
args = ["-y", "mcp-ariel-memory"]

Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install ariel-memory in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

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

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install ariel-memory in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

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

How to install ariel-memory in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "ariel-memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-ariel-memory"
      ]
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does ariel-memory expose?

This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.

What the code can do

Read from the published package source — never executed. Parsed 3 of 3 source files.

This server can run other programs on your machine, read and write files and read your environment variables.

How it was published

Runs postinstall on install — this executes when you install the package, before you deliberately run anything.
No provenance attestation — there is nothing linking this published artifact to a specific source commit.
1 npm maintainer — a single point of compromise · last published by cipher208.

Maintainer of this package and think something here is wrong? Tell us and we'll correct it.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
Downloads at launch — The package is fetched from its registry each run unless you pin a version.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 73

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%not measurable
No commit history available.
Adoption20%not measurable
No usage data available.
Transparency20%50%
2/4: ✓ public source repo, ✗ declared license, ✓ documentation, ✗ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%100%
Publishes a pinned version (1.0.0).

Documentation

Full README

a-memory

Your AI agents forget. a-memory makes them remember. 4-tier agent memory with hybrid search and a real knowledge graph — all in plain SQLite files. Zero cloud. Zero external APIs.

Also available on PyPI: `pip install a-memory` — optional extras: a-memory[embeddings] for real multilingual embeddings.

Why SQLite?

Every other memory server sends your agent's data through a cloud API or requires a separate vector database.

a-memory stores everything in SQLite files on your machine.

Zero infrastructure. No Docker, no database server, no embedding API keys.
Zero data leaving your network. Works air-gapped.
Layer-isolated by design. User facts and agent identity never share a namespace.
One directory = entire memory. Back up with cp, sync with rsync.

Why this exists

Three problems a-memory solves:

① Agent self-evolution — your AI stops repeating mistakes between sessions. It remembers decisions, errors, and corrections in a dedicated agent layer, and an hourly consolidation sweep promotes what matters into long-term facts.

② User persona persistence — your agent knows who it's talking to even after weeks of silence. Preferences, history, emotional context live in the user layer, isolated from agent identity.

③ Project continuity — project tracks per-project context: decisions with rationale and outcomes, artifact maps, a graphify-powered code index — so a fresh session picks up where the last one left off.

Excerpt — the full document is on GitHub.

Alternatives to ariel-memory

Maintain ariel-memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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Catalog data refreshed Oct 28, 2026. Something wrong? Report it.