A local memory skill for AI agents that keeps remembered corrections and preferences in readable files on your machine. It can share that memory across compatible tools such as OpenClaw, Claude Code, and Cursor.

Use it to keep local, transferable agent memory, automatically recall relevant context, and learn from corrections and preferences while you work.

It avoids sending the memory to a cloud service and removes the need to explain the same preferences again in each session. The memory is available across supported tools.

plur-memory — Skill for Claude Code by plur-ai/plur

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add plur-ai/plur --skill clawhub

Clone the repo

git clone --depth 1 https://github.com/plur-ai/plur

Made for: Claude Code.

Or install plur, the plugin that ships this one along with the rest of its 5 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/plur-ai/plur/clawhub/github.svg)](https://agentmods.dev/skills/plur-ai/plur/clawhub)

Your own site

<a href="https://agentmods.dev/skills/plur-ai/plur/clawhub"><img src="https://agentmods.dev/badge/skills/plur-ai/plur/clawhub/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/plur-ai/plur/clawhub"><img src="https://agentmods.dev/badge/skills/plur-ai/plur/clawhub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 531 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00041	$0.00531
Opus 5.5	$0.00016	$0.00212
Sonnet 5.5	$0.00008	$0.00106
Haiku 4.5	$0.00004	$0.00053

Measured 1mo ago against content hash e68ae13c2cda, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plur-memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/claw/clawhub/SKILL.md · 60 lines

What it actually says

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

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago First seen · 60 lines · 41 tokens per session scan A e68ae13c2cda

Subscribe to this mod's changes

plur-memory is a skill published in the GitHub repository plur-ai/plur (304 stars, last pushed 8d ago), licensed Apache-2.0. It adds 41 tokens to every session and 531 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

LLM Memory and context agent-memory ai-agents ai-memory context-engine local-first

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