mem0 — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 mem0ai · Agent Tool · ★ 66.5k

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

🔒 Is mem0 safe to install? View the security audit →

Featured in: Agent Memory

About mem0

Learn more · Join Discord · Demo <a href="https://www.ycombinator.com

agentic-memoryagentic-memory-systemagentsaiai-agentschatgptgenaillmlong-term-memorymemory

Quick Facts

Stars66,517
Forks7,839
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score64.0837369849988/100
Open Issues781
Last Updated2026-10-01
Created2023-06-20
Platformspython
Est. Tokens~15k

Compatible Skills

These tools work well together with mem0 for enhanced workflows:

  • EverOS — semantic(0.49)+complementary+rare_topics+same_lang+shared_platform (66%)
  • EverMemOS — semantic(0.47)+complementary+rare_topics+same_lang+shared_platform (65%)
  • remind — semantic(0.55)+complementary+rare_topics+same_lang+shared_platform (63%)
  • XMem — semantic(0.56)+complementary+rare_topics+same_lang+shared_platform (59%)
  • nocturne_memory — semantic(0.39)+complementary+rare_topics+same_lang+shared_platform (58%)

mem0 alternative? Top 6 similar tools

Looking for a mem0 alternative? If you're comparing mem0 with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • Memori by MemoriLabs · ⭐ 17.1k

    Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation

  • dify by langgenius · ⭐ 157.8k

    Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. De

  • claude-mem by thedotmack · ⭐ 95.3k

    Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, com

  • headroom by chopratejas · ⭐ 44.4k

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer

  • AstrBot by AstrBotDevs · ⭐ 41.3k

    AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature,

  • repomix by yamadashy · ⭐ 28.7k

    📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for w

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Frequently Asked Questions

What is mem0?

mem0 is The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.. It is categorized as a Agent Tool with 66.5k GitHub stars.

What programming language is mem0 written in?

mem0 is primarily written in Python. It covers topics such as agentic-memory, agentic-memory-system, agents.

How do I install or use mem0?

You can find installation instructions and usage details in the mem0 GitHub repository at github.com/mem0ai/mem0. The project has 66.5k stars and 7839 forks, indicating an active community.

What license does mem0 use?

mem0 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 mem0?

The top alternatives to mem0 on Agent Skills Hub include Memori, dify, claude-mem. 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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