PlugMem: ICML 2026 · Plug-and-play long-term memory for LLM agents

by TIMAN-group · Agent Tool · ★ 280

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

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-memoryllm-agentrag

Quick Facts

Stars280
Forks27
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score70/100
Open Issues5
Last Updated2026-07-09
Created2026-02-09
Platformspython
Est. Tokens~15k

About PlugMem

PlugMem PlugMem is a plug-and-play long-term memory system for LLM agents. Instead of storing and retrieving raw interaction histories, PlugMem organizes experience into compact, reusable knowledge units, allowing agents to recall what matters to agent decision-making with minimal context overhead.

Compatible Skills

These tools work well together with PlugMem for enhanced workflows:

  • LycheeMem — semantic(0.47)+complementary+same_lang+similar_pop+shared_platform (61%)
  • nocturne_memory — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • ContextKeep — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • XMem — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (58%)
  • rekal — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

PlugMem alternative? Top 6 similar tools

Looking for a PlugMem alternative? If you're comparing PlugMem 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.

  • palico-ai by palico-ai · ⭐ 343

    Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework

  • mengram by alibaizhanov · ⭐ 195

    Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn fro

  • lucid-memory by JasonDocton · ⭐ 159

    Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG.

  • nocturne_memory by Dataojitori · ⭐ 1.4k

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

  • sre by SmythOS · ⭐ 1.3k

    The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular,

  • flock by Onelevenvy · ⭐ 1.1k

    Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent t

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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