How do I install the Plur Memory skill?

Run npx skillmds@latest add plur-ai/plur-memory-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Plur Memory safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Plur Memory?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Plur Memory free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Plur Memory?

plur-ai (@plur-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Plur Memory by plur-ai — Agent Skill

Name: Plur Memory
Rating: 4.2 (5 reviews)
Author: plur-ai

File contents

PLUR Memory

Most memory plugins send your context to a cloud server. PLUR doesn't.

Your memory lives on your disk — plain files you can read, edit, move, and back up. Zero cloud routing. Zero API keys. Zero cost.

Install in one command:

openclaw plugins install @plur-ai/claw

Or tell your OpenClaw: go to plur.ai and install memory

What happens next

Every correction you make becomes a permanent engram. Every preference gets remembered. The next time you open a session, PLUR injects what's relevant — automatically, before you type a word.

One memory, every tool

Correct something in OpenClaw — your Claude Code picks it up. Teach a pattern in Cursor — OpenClaw already knows. Memory moves with you across every MCP-compatible tool you use.

Features

Learns from corrections and preferences as you work — no manual notes
Injects relevant context at session start — no re-explaining from scratch
Memory strengthens with use, fades when stale — modeled on human memory
Works across Claude Code, Cursor (beta), and any MCP-compatible tool
No cloud, no API key, no cost — by default

Benchmarks

Retrieval (LongMemEval R@5): 76.7% out-of-the-box · 97.0% with openai-3-large embeddings — full methodology
Agent tasks: 89% win rate — Haiku + PLUR outperforms Opus without memory
House rules: 12–0 across Haiku, Sonnet, Opus

Open source. Local-first. Private. Free.

Apache-2.0. Your data never leaves your machine.

Requirements

OpenClaw >= 2026.3.7
Node.js >= 18

Links

Website: https://plur.ai
GitHub: https://github.com/plur-ai/plur
npm: https://npmjs.com/package/@plur-ai/claw
Benchmarks: https://plur.ai/benchmark.html

Author: PLUR (info@plur.ai)

---name: plur-memory-2description: Your memory stays on your machine. No cloud, no tracking, no API key. PLUR makes your OpenClaw remember — and shares that memory with every other tool you use.---# PLUR MemoryMost memory plugins send your context to a cloud server. PLUR doesn't.Your memory lives on your disk — plain files you can read, edit, move, and back up. Zero cloud routing. Zero API keys. Zero cost.**Install in one command:**```openclaw plugins install @plur-ai/claw```Or tell your OpenClaw: `go to plur.ai and install memory`## What happens nextEvery correction you make becomes a permanent engram. Every preference gets remembered. The next time you open a session, PLUR injects what's relevant — automatically, before you type a word.## One memory, every toolCorrect something in OpenClaw — your Claude Code picks it up. Teach a pattern in Cursor — OpenClaw already knows. Memory moves with you across every MCP-compatible tool you use.## Features- Learns from corrections and preferences as you work — no manual notes- Injects relevant context at session start — no re-explaining from scratch- Memory strengthens with use, fades when stale — modeled on human memory- Works across Claude Code, Cursor (beta), and any MCP-compatible tool- No cloud, no API key, no cost — by default## Benchmarks- **Retrieval** (LongMemEval R@5): **76.7%** out-of-the-box · **97.0%** with openai-3-large embeddings — [full methodology](https://plur.ai/benchmark.html)- **Agent tasks**: 89% win rate — Haiku + PLUR outperforms Opus *without* memory- **House rules**: 12–0 across Haiku, Sonnet, Opus## Open source. Local-first. Private. Free.Apache-2.0. Your data never leaves your machine.## Requirements- OpenClaw >= 2026.3.7- Node.js >= 18## Links- Website: https://plur.ai- GitHub: https://github.com/plur-ai/plur- npm: https://npmjs.com/package/@plur-ai/claw- Benchmarks: https://plur.ai/benchmark.html**Author:** PLUR (info@plur.ai)

Frequently asked questions

Plur Memory