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OpenClaw Agent Templates & MCP Servers

Curated AI agent templates for OpenClaw, Clawdbot & MoltBot. 30+ production-ready agents, MCP servers, integrations & tutorials for building autonomous AI

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GitHub by mergisi

AI Agent Templates for OpenClaw, Clawdbot & MoltBot

Awesome OpenClaw Agents is a curated collection of production-ready AI agent templates, Model Context Protocol (MCP) servers, and integrations designed for the OpenClaw ecosystem. It serves as a central resource for developers and teams building autonomous AI agents that can handle complex workflows across productivity, development, marketing, business operations, and personal domains.

Purpose & Significance

The OpenClaw ecosystem enables developers to build sophisticated multi-agent systems using Claude as the reasoning engine. Awesome OpenClaw Agents removes the blank-page problem by providing pre-built templates across five functional categories: productivity coordination, code development, content creation, business operations, and personal assistance. Each template includes example configurations, setup instructions, and recommended prompt patterns—lowering the barrier to entry for developers new to agent architecture while offering reference implementations for experienced teams. The project is maintained by the community and evolves with new agent patterns and integration capabilities.

Key Features

  • 30+ Agent Templates: Ready-to-deploy SOUL.md configurations covering task management (Orion, TaskMaster), development workflows (CodeReviewer, BugHunter, TestCrafter), content creation (Echo, TweetCrafter, SEOExpert), business intelligence (Radar, CEOAssistant, SalesCoach), and personal assistants (FitnessCoach, LearningBuddy, TravelPlanner)
  • Official & Community MCP Servers: Pre-integrated Model Context Protocol servers including web fetching, file system access, and community-built connectors for Notion, Google Calendar, GitHub, Slack, Stripe, Shopify, Discord, and Linear
  • Multi-Platform Integrations: Native support for Telegram, Slack, Discord, WhatsApp, iOS Shortcuts, and Android Tasker—enabling agents to run across devices and messaging platforms without additional glue code
  • Automation Framework Connectors: Pre-built integration nodes for n8n, Zapier, and Make.com, plus native GitHub Actions support for CI/CD pipelines
  • Progressive Learning Path: Structured tutorials from quick-start guides (5-minute first agent) through intermediate multi-agent orchestration to advanced custom MCP server development and production deployment
  • Developer Tools: CLI utilities (openclaw-cli, agent-validator, mcp-tester), SDKs for TypeScript and Python, debugging tools, analytics dashboards, and cost tracking

Getting Started

The project provides a clear onboarding path for new users. Begin with the Quick Start Guide to deploy your first agent in five minutes. Install the openclaw-cli tool and use provided SOUL.md templates as scaffolding—each template includes a README with setup instructions and example prompts you can test immediately. For integration work, the Contributing Guide documents the standard agent structure: a folder containing SOUL.md configuration and README documentation. Community-built agents follow the same pattern, making it easy to fork templates and customize them for your use case.

Who This Is For

  • AI/ML Teams: Building multi-agent systems at scale, seeking reference architectures and production deployment patterns
  • Startup Founders: Needing 24/7 operational coverage (content, customer support, analytics) without hiring full teams
  • Enterprise Automation Teams: Integrating AI agents into existing workflows via n8n, Zapier, or GitHub Actions
  • Developers New to Agents: Learning agent architecture through well-documented, working examples and progressive complexity
  • Claude API Users: Expanding beyond single-turn prompts to stateful, tool-using autonomous systems

Core Ecosystem Components

OpenClaw is the official framework providing agent orchestration, conversation management, and deployment infrastructure. Clawdbot serves as an advanced coordinator for multi-agent workflows, enabling agents to mention and delegate to each other. MoltBot specializes in content transformation tasks. Together, these form a complete system for building, coordinating, and deploying AI agents—and Awesome OpenClaw Agents provides the templates and examples to use all three effectively.

Community & Contribution

The project actively welcomes contributions following its documented template structure. Community members have submitted agents across all five functional categories, MCP server integrations for major platforms (Stripe, Shopify, Twitter/X, Linear), and production deployment guides. The MIT license ensures freedom to fork, modify, and commercialize agents for your use case. With 2 contributors and active maintenance (last updated February 2026), the project reflects ongoing community investment in the OpenClaw ecosystem.

Resources & Learning

Beyond templates, the collection includes video tutorials covering core concepts (10-minute overview, first-agent build, iOS Shortcuts integration), intermediate guides for multi-agent workflows and mobile integration, and advanced topics like custom MCP server development and production deployment on Railway or Fly.io. The community articles section links to strategic content: "Building an AI Team That Works 24/7," framework comparisons (OpenClaw vs. AutoGPT vs. CrewAI), and podcast discussions. Example community projects (AI Content Studio, DevOps Copilot, Personal CRM) demonstrate real-world implementations.

Repository: mergisi/awesome-openclaw-agents on GitHub | License: MIT | Last Updated: February 2026

openclaw-cli soul-md-agent-configuration mcp-server-ecosystem building-multi-agent-workflows

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https://github.com/mergisi/awesome-openclaw-agents

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