GitHub – mergisi/awesome-openclaw-agents: 162 production-ready AI agent templates for OpenClaw. SOUL.md configs across 19 categories. Submit yours!

**162 Production-Ready AI Agent Templates for OpenClaw (And You Can Deploy One in 60 Seconds)**

If you’ve ever tried setting up an AI agent from scratch, you know the feeling. You start excited… then an hour later you’re deep in configs, terminals, and docs that assume you already know everything.

That’s why the awesome-openclaw-agents repository feels different.

It’s a curated collection of **162 production-ready AI agent templates** for the OpenClaw ecosystem. And these aren’t vague examples. Each one is a **copy-paste ready SOUL.md file** you can actually use.

You pick a template.
Customize the config.
Deploy.

No terminal gymnastics required.

What I like most is the structure. The templates are organized across **19 categories**, covering everything from Software Engineering and Content Writing to Data Analysis, E-Commerce, Operations, Compliance, even voice and phone agents. It’s not just “AI for fun”, it’s AI for real workflows.

There’s also a practical evolution here. Historically, building agents meant stitching together prompts, tools, APIs, hosting. Now, tools like CrewClaw generate a **full deploy package, Dockerfile, docker-compose, bot, README**, for any role. That’s a serious shift. We’re moving from experimenting to operating.

And if you’re more technical, all agents are available as machine-readable JSON. If you’re less technical, you can deploy in about a minute. That balance matters.

One detail I found surprisingly forward-looking is the **Moltbook integration**, which lets your agent post and engage on an AI-to-AI social layer. It sounds niche at first, but think about it. Agents that collaborate, market, and exchange information autonomously. We’re slowly building digital coworkers that don’t just execute tasks, they participate.

There are already **132 verified real-world use cases** listed. That’s not theory. That’s people actually shipping things.

If you’ve been waiting for a practical entry point into AI agents, this might be it. Start small. Deploy one. See what happens.

We’re not just automating tasks anymore. We’re designing systems that work while we sleep.