Memory Pipeline skill for OpenClaw

What this skill does

Complete agent memory + performance system. Extracts structured facts, builds knowledge graphs, generates briefings, and enforces execution discipline via pre-game routines, tool policies, result compression, and after-action reviews. Includes external knowledge ingestion (ChatGPT exports, etc.) into searchable memory. Use when working on memory management, briefing generation, knowledge consolidation, external data ingestion, agent consistency, or improving execution quality across sessions.

The Memory Pipeline skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

How to install the Memory Pipeline skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
2. Open the in-app Skills panel.
3. Search for memory-pipeline and click Install.
4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Memory Pipeline skill with a single command:

openclaw skills add memory-pipeline

This pulls memory-pipeline from ClawHub and installs it into ~/.openclaw/skills/memory-pipeline/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Memory Pipeline skill

Once installed, the Memory Pipeline skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

1. Click the Download skill .zip button above to grab memory-pipeline-0.4.0.zip directly from our S3 mirror.
2. Unzip into ~/.openclaw/skills/memory-pipeline/ (create the directory if it does not exist).
3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Memory Pipeline?

Install Memory Pipeline in the OpenClaw Easy desktop app by opening the Skills panel, searching for memory-pipeline, and clicking Install. From a terminal you can run: openclaw skills add memory-pipeline. Either way the skill is placed in ~/.openclaw/skills/memory-pipeline/.

Is the Memory Pipeline skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Memory Pipeline do?

Complete agent memory + performance system. Extracts structured facts, builds knowledge graphs, generates briefings, and enforces execution discipline via pre-game routines, tool policies, result compression, and after-action reviews.

Related: more developer tools skills

If the Memory Pipeline skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

• Code Review ⬇ 4K
• Frontend Design ⬇ 4K
• Office Automation Test ⬇ 3.9K
• Web Research Assistant ⬇ 3.9K
• Mem0 ⬇ 3.9K

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

Browse the full OpenClaw skill catalog

This page covers just one skill. The OpenClaw skill hub has 10,000+ more — search, sort by downloads or stars, and install any of them in one click. There is also a curated awesome-openclaw-skills list grouped by use case.