How ClawMaster helps you set up OpenClaw, manage Skills, and use PowerMem — without living in config files
TL;DR: ClawMaster is an open-source OpenClaw companion with a setup wizard, channel and model management, cost observability, Skill hosting, and PowerMem-backed memory. Install with two commands, then open http://localhost:16223.
When Skills pile up
Once Skills under an agent multiply, overlaps and clutter show up fast. A common pattern today is filesystem scanning: Skills live as Markdown on disk, and the runtime may walk through every SKILL.md when it needs one.
As the library grows, a few frictions appear:
Finding the right Skill in a large tree takes longer.
Long SKILL.md files are easy to read incompletely; recall gets less stable.
Version, dependencies, and “when do I use this?” are hard to track with folders and filenames alone.
Context windows limit how much you can load in one turn.
That is the backdrop for tools that make OpenClaw easier to run day to day — not only to install once.
What ClawMaster is
ClawMaster is an open-source project from openmaster-ai. It is described as an “OpenClaw companion for real life” — a path from install to daily use, not just getting config files right.
You get an OpenClaw management console from install through configuration: a setup wizard so you can configure models and channels and see what each AI call costs — without memorizing commands or hand-editing JSON.
It also supports:
PaddleOCR document parsing
ERNIE (Wenxin) image generation
Cost observability
Scheduled tasks
In-browser Skill refresh and hosting
Who it’s for
Quick start
npm i -g clawmaster
clawmaster
Open http://localhost:16223. The setup wizard walks you through the rest.
After launch:
Pick or create an OpenClaw profile.
Connect at least one model provider and set a default.
Add channels, plugins, Skills, or MCP servers as needed.
Enable gateway or observability when you want runtime inspection.
PowerMem and LLM Wiki
ClawMaster integrates PowerMem — the memory engine open-sourced by the OceanBase team. Instead of a pile of Markdown files, memory becomes structured, queryable storage with a forgetting curve.
ClawMaster also aligns with Andrej Karpathy’s LLM Wiki idea: content goes in once, the knowledge base keeps compounding, and the agent can draft with views you have already captured — even when you do not paste a link again. ClawMaster tracks a related LLM Knowledge module on the v0.4.0 milestone.
Try it
npm i -g clawmaster && clawmaster
Finish the wizard at http://localhost:16223
Configure one channel or model you actually use
Install or refresh one Skill from the UI
If you want guided exercises, see clawmaster-workshop.
References
ClawMaster: https://github.com/openmaster-ai/clawmaster
PowerMem: https://github.com/oceanbase/powermem
LLM Wiki (Karpathy): https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
Based on the OceanBase community write-up on ClawMaster and the public ClawMaster README (v0.3.1). Check the repo for the latest release and roadmap.