memclaw

memclaw is a skill for Claude Code from caura-ai/caura. It costs 124 tokens per session (6,329 once invoked), scanned A, original, Apache-2.0.

A shared long-term memory system for coding agents. It stores decisions, findings, rules, and reusable workflows so they can be recalled in later sessions by authorized teammates.

In plain words
What is it for?
Use it to recall relevant prior decisions before a task and save important outcomes, explanations, rules, and lessons afterward.
Why use it?
It prevents useful project knowledge from disappearing when a session ends and helps agents build on earlier work.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents; built for openclaw.

Good fit Use it to recall relevant prior decisions before a task and save important outcomes, explanations, rules, and lessons afterward.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/caura-ai/caura/memclaw
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 caura-ai/caura --skill memclaw
Clone the repo
git clone --depth 1 https://github.com/caura-ai/caura

Made for: Claude Code.

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.

agentmods badge for memclaw

README.md
[![agentmods](https://agentmods.dev/badge/skills/caura-ai/caura/memclaw/github.svg)](https://agentmods.dev/skills/caura-ai/caura/memclaw)
Your own site
<a href="https://agentmods.dev/skills/caura-ai/caura/memclaw"><img src="https://agentmods.dev/badge/skills/caura-ai/caura/memclaw/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.

agentmods 80×15 button for memclaw

Your own site · 80×15
<a href="https://agentmods.dev/skills/caura-ai/caura/memclaw"><img src="https://agentmods.dev/badge/skills/caura-ai/caura/memclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,329 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 417
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00124 $0.06329
Opus 5.5 $0.00050 $0.02532
Sonnet 5.5 $0.00025 $0.01266
Haiku 4.5 $0.00012 $0.00633

Measured 3d ago against content hash 1990523fc949, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memclaw 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 3d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • caura — 97% identical, 13 lines differ
plugin/skills/memclaw/SKILL.md · 456 lines

How it starts

The opening of the file, as written. The whole thing — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Caura Skill

Caura is your long-term memory. Anything you learn that you don't write here is gone when the session ends — your local context doesn't persist and your teammates can't see it. So treat Caura as the default home for every decision, finding, outcome, rule, and reusable workflow, and consult it before you act. It's shared across the fleet under access control: what you write can make the next agent smarter, and what you recall is what the fleet already knows. Using it is the job, not an optional extra.

The plugin runs a baseline loop for you — the tools are still yours. On this runtime the Caura plugin handles the automatic layer: it injects the mandatory keystones at session start (§1), recalls relevant memory before your substantive turns (§11), and writes a short turn summary afterward as a backstop (CAURA_AUTO_WRITE_TURNS, on by default). The same switch also controls automatic saves of user messages and compaction summaries, and the memory-flush turn that asks you to save a session summary before compaction; set it to false and restart the plugin to disable all four. Treat the automatic layer as a floor, not a substitute. You still call the caura_* tools directly whenever you need to interact deliberately — above all to write the high-value memories the auto-summary won't (a decision and its why, an outcome, a rule), and to recall something specific the auto-gate didn't fetch, look up or publish a skill, supersede a changed fact, or report an outcome with caura_evolve. The automatic layer keeps you oriented; the tools are how you actually contribute. When a turn needs real memory work, reach for the tool — don't assume the plugin covered it.

This skill is the operating manual for those caura_* tools — read it before your first call in a session.

0 · Identity — on every call

  • agent_id — who you are. Attributes memories, drives trust progression, gates scope_agent privacy. Resolve it from your runtime. Never fabricate, hardcode a placeholder, or impersonate another agent.
  • fleet_id — your fleet: a team or group of agents within your tenant. When you omit it on a write, the server resolves it from your home fleet (the fleet you registered under), so a registered agent lands in the right fleet by default. Pass it explicitly in two cases: (1) you have no home fleet set — omitting then persists fleet_id=NULL, which is tenant-shared: every fleet's recall still finds the row, but a fleet-filtered list or stats does not, so it answers teammates' searches while going missing from their counts; or (2) you're writing into a different fleet than your own (requires trust 3). The connection URL's ?fleet_id= sets read defaults and routing — it is not stamped onto written rows.

Read the full file on GitHub · 456 lines

Changes

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.

  1. 3d ago Changed · +2 lines 1990523fc949
  2. 7d ago Changed · +6 lines a81b14f24401
  3. 15d ago Changed · +3 lines 9d0ba4c4eda1
  4. 19d ago Changed · +15 lines 6a5ca8d1c081
  5. 27d ago Changed · +7 lines 9f48d420ffaa
  6. 29d ago Changed 56dca88c7749
  7. 1mo ago Changed · +4 lines cfcd894243b1
  8. 1mo ago Changed · +8 lines 47282b7906bd
  9. 1mo ago First seen · 411 lines · 124 tokens per session scan A 8f8c59b94b96

Subscribe to this mod's changes

memclaw is a skill published in the GitHub repository caura-ai/caura (501 stars, last pushed yesterday), licensed Apache-2.0. It adds 124 tokens to every session and 6,329 once invoked, about $0.0005 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.

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