Is Atomicmemory safe to use?

Atomicmemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Atomicmemory?

Atomicmemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with Atomicmemory?

Atomicmemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Atomicmemory actively maintained?

Atomicmemory is actively maintained — last commit was 16 days ago. It has 424 GitHub stars.

Atomicmemory

Name: Atomicmemory
Author: atomicstrata

@atomicmemory/sdk · by atomicstrata

Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.

424 24/wk GitHub npm

No known CVEs

No license

Actively maintained

Last commit 16d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 10h ago

This server has been archived and is no longer actively maintained.

Edit this pageView history

Atomicmemory is an MCP server that portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 44/100 on MCPpedia's security, maintenance and efficiency rubric.

Developer Tools AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "atomicmemory": {
      "args": [
        "-y",
        "@atomicmemory/sdk"
      ],
      "command": "npx"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/atomicmemory)](https://mcppedia.org/s/atomicmemory)

Read me

What Atomicmemory does

Inspectable, portable semantic memory for agents and applications.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

44/100across 5 weighted dimensions

How we score →

0255075100

−56

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @atomicmemory/sdk against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Atomicmemory safe to use?: Atomicmemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Atomicmemory?: Atomicmemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with Atomicmemory?: Atomicmemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Atomicmemory actively maintained?: Atomicmemory is actively maintained — last commit was 16 days ago. It has 424 GitHub stars.

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Discussion

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This server has been archived and is no longer actively maintained.

Edit this pageView history

Developer Tools AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "atomicmemory": {
      "args": [
        "-y",
        "@atomicmemory/sdk"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/atomicmemory)](https://mcppedia.org/s/atomicmemory)

Read me

What Atomicmemory does

Inspectable, portable semantic memory for agents and applications.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

README

AtomicMemory

Inspectable, portable semantic memory for agents and applications.

AtomicMemory is a memory layer you embed where your AI code already runs. Capture context, ground generations in prior interactions, and carry knowledge across sessions — from a direct SDK call, a CLI, an MCP server, a framework adapter, or a host plugin. Local-first where supported, hosted where convenient, and designed so the choice can change later without rewriting your application.

Most memory products ask you to trust a hosted black box with the layer that decides what an AI believes about your users. AtomicMemory takes the opposite position: the interface should be portable, the engine should be inspectable, and the memory system should be able to revise itself when facts change.

This repository is the public source of truth for the AtomicMemory JavaScript / TypeScript packages, framework adapters, host plugins, and public smoke tests.

Docs: docs.atomicstrata.ai

Field note: The AI Memory Industry Has A Black Box Problem

Headline Results

AtomicMemory v66 is leading performance/cost on BEAM-100K, BEAM-1M, and LoCoMo10 under matched methodology against published competitors. On BEAM-10M it matches the strongest published Mem0-new result while leaving Hindsight-scale temporal retrieval as the known open frontier.

Benchmark	AtomicMemory v66	Position	Cost/Q	Sample
BEAM-100K lenient	0.7375	Parity with Hindsight at 0.75	$1.26	n=80
BEAM-1M lenient	0.6625	Leading Performance/Cost; +0.022 vs Mem0 paper	$0.083	n=80
BEAM-10M lenient	0.4875	Parity with Mem0-new at 0.486	$0.081	n=80
LoCoMo10 GPT-4o-mini binary	0.8396	Leading Performance/Cost; +0.171 vs Mem0 paper	$0.066	n=1540

These results put AtomicMemory at or near the published ceiling in each reported category while preserving the lower-cost operating profile that matters for real applications. Reproducibility artifacts and harness details will be published with the benchmark materials.

Why AtomicMemory

Portable: a single memory protocol consumed by direct SDK calls, CLIs, the MCP server, framework adapters, and host plugins. The same memory store serves a LangGraph agent, a Claude Code session, and a custom Vercel AI application without re-implementing capture or retrieval semantics.
SDK-agnostic: every adapter is built on the same SDK. Adapters are conveniences, not gatekeepers. You can drop down to the SDK at any time and keep the same data, indexes, and retrieval behavior.
Inspectable: Core is open source, self-hostable, and built around explicit mutation decisions rather than an opaque hosted opinion.
Correction-aware: memory is not just append and recall. Real products need supersession, clarification, deletion, no-op decisions, lineage, and trust-sensitive revision when users change their mind.
Model-surface portable: the SDK lets applications swap memory backe

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

44/100across 5 weighted dimensions

How we score →

0255075100

−56

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @atomicmemory/sdk against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Atomicmemory safe to use?: Atomicmemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Atomicmemory?: Atomicmemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with Atomicmemory?: Atomicmemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Atomicmemory actively maintained?: Atomicmemory is actively maintained — last commit was 16 days ago. It has 424 GitHub stars.