MARM-Systems — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by Lyellr88 · MCP Server · ★ 305

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is MARM-Systems safe to install? View the security audit →

About MARM-Systems

MARM: The AI That Remembers Your Conversations Memory Accurate Response Mode v2.2.6 - The intelligent persistent memory system for AI agents (supports HTTP and STDIO), stop fighting your memory and control it. Experience long-term recall, session continuity, and reliable conversation history, so your LLMs never lose track of what matters. [![PyPI Downloads](https://static.pepy.tech/personalized-badge/marm-mcp-server?period=total&units=NONE&leftcolor=GREY&rightcolor=BLUE&leftt

agent-swarmsclaudedeveloper-toolsdocker-imageembeddingsfastapigemini-cliknowledge-based-systemsmcpmcp-server

Quick Facts

Stars305
Forks57
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score62.3346082969784/100
Open Issues9
Last Updated2026-07-09
Created2025-06-10
Platformsbrowser, claude-code, cli, codex, docker, gemini, mcp, python
Est. Tokens~20k

Compatible Skills

These tools work well together with MARM-Systems for enhanced workflows:

  • honcho — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • memsearch — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • mira-OSS — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • claude-cognitive — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • openclaw-config — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

MARM-Systems alternative? Top 6 similar tools

Looking for a MARM-Systems alternative? If you're comparing MARM-Systems with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • rust-docs-mcp-server by Govcraft · ⭐ 291

    🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, use

  • octocode by Muvon · ⭐ 475

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • mychatarchive by 1ch1n · ⭐ 65

    Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and sea

  • mcp-server-qdrant by qdrant · ⭐ 1.5k

    An official Qdrant Model Context Protocol (MCP) server implementation

  • nocturne_memory by Dataojitori · ⭐ 1.4k

    A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and

  • better-chatbot by cgoinglove · ⭐ 1.1k

    Just a Better Chatbot. Powered by Agent & MCP & Workflows.

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Frequently Asked Questions

What is MARM-Systems?

MARM-Systems is Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, swarm-ready presets, and compaction for clean recall. Includes a live web dashboard for man. It is categorized as a MCP Server with 305 GitHub stars.

What programming language is MARM-Systems written in?

MARM-Systems is primarily written in Python. It covers topics such as agent-swarms, claude, developer-tools.

How do I install or use MARM-Systems?

You can find installation instructions and usage details in the MARM-Systems GitHub repository at github.com/Lyellr88/MARM-Systems. The project has 305 stars and 57 forks, indicating an active community.

What license does MARM-Systems use?

MARM-Systems is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to MARM-Systems?

The top alternatives to MARM-Systems on Agent Skills Hub include rust-docs-mcp-server, octocode, mychatarchive. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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