I have 25 AI Agents working 24/7 with Openclaw

I have 25 AI Agents working 24/7 with Openclaw

How to Manage a Team of Autonomous Agents

Overview of the System

  • The speaker manages 25 autonomous agents operating 24/7, utilizing a dashboard for oversight and improvements.
  • The system is called Muddy OS, featuring various applications designed with a blend of Windows and Mac aesthetics.

Task Management Features

  • The task manager displays active sessions, idle statuses, token counts, and estimated costs associated with operations.
  • Key models in use include Opus 4.6 for heavy lifting tasks and backup systems like Opus 4.5 anti-gravity.

Organizational Structure

  • The CEO oversees vision and strategy while managing a COO named Muddy who focuses on research and delegation.
  • Department heads include a CTO inspired by Elon Musk, CMO inspired by Gary Vaynerchuk, and CRO inspired by Warren Buffett.

Continuous Improvement

  • The speaker emphasizes ongoing adjustments to the organizational structure based on operational feedback.
  • Each department has specific divisions tailored to their functions; for example, backend security uses Opus models as fail-safes.

Marketing Division Insights

  • Under the CMO's leadership, content creation involves multiple agents working together using different models for efficiency.
  • A notable pairing includes Rex (YouTube script writer using Opus 4.6 for research) and Sonnet 4.5 for output generation.

Revenue Generation Strategies

  • The CRO’s team includes product intelligence scouts and community growth initiatives that leverage cost-effective models like Gemini 3 Flash.
  • Community engagement is highlighted as particularly successful due to extensive context provided to the agents involved.

Standup Meetings Implementation

  • Recent incorporation of standup meetings aims to enhance communication among team leads regarding project updates.
  • Emphasis on product integrity ensures that only thoroughly tested tools are promoted or partnered with in future endeavors.

Standup Meeting Automation and AI Integration

Overview of the Standup Meeting Process

  • The speaker describes a system for managing action items during standup meetings, where tasks are initially unchecked and marked complete once actions are taken.
  • A notification feature is integrated via Telegram to alert the team when the standup meeting concludes, enhancing communication efficiency.

Inbound Partnership Requests

  • The team discusses receiving inbound partnership requests despite having only 520 subscribers, indicating potential audience interest and marketability.
  • Emphasis is placed on improving voice engagement in communications, with specific personalities assigned to different voices for better relatability.

Development of AI Personalities

  • The speaker highlights advancements in creating an autonomous chat system where team members can communicate without direct oversight.
  • Claybot is introduced as a unique entity with its own identity and memory capabilities designed to remember conversations and important dates.

Differentiation Between Bots

  • A distinction is made between various bots: Muddy (the main brain), Elon (based on Elon Musk), and others like Gary and Warren, which share a common gateway but differ in functionality.
  • The key differentiator for Claybot is its independent operational gateway compared to other bots that operate under Muddy's framework.

Documentation and Real-Time Updates

  • Current documentation focuses on operations within the system, providing real-time updates accessible by agents and department heads for reference.
  • The speaker expresses gratitude towards Peter for developing this open-source tool, emphasizing its transformative potential in their workflow.

Invitation for Engagement

  • The speaker invites viewers to ask questions about the operating system or suggest topics for future videos, promoting community interaction.
Video description

I built a dashboard to manage my entire AI agent team — 25 agents, 3 AI chief of staff, voice standups, task tracking, and persistent memory. All from one screen. In this video, I walk you through the Ops module of Muddy OS — an internal AI operations dashboard I built with React, TypeScript, Tailwind, and OpenClaw. You'll see the task manager, the org chart, voice standup meetings where AI chiefs debate strategy out loud, the framework that gives agents persistent identity, and living documentation that stays current as the system evolves. Everything here is built with free, open-source tools. OpenClaw is free. Edge TTS is free. The dashboard is React + markdown files on a Ubuntu VM. No paid services, no fancy infrastructure. If you're running AI agents and want better visibility into what they're doing, this is for you. ⏱️ TIMESTAMPS: 0:00 - In This Video 0:26 - Ops Dashboard Preview 0:46 - Task Manager 1:40 - Org Chart 5:53 - Voice Standups (AI Meetings) 8:50 - Workspaces (Manage AI Agents) 11:15 - Documentation 11:48 - THANK YOU @steipete 12:14 - Closing Thoughts 🎥 RELATED VIDEOS: No Mac Mini, No VPS Hosting → https://www.youtube.com/watch?v=D8FEYFbF7wk The EASIEST Openclaw(Clawdbot) setup guide for Windows → https://www.youtube.com/watch?v=E3D8xEWysrI 3 Things You NEED TO DO After Install → https://www.youtube.com/watch?v=Sf-MEy5m0Y4 🧰 TOOLS FEATURED: → OpenClaw (AI Agent Framework): https://openclaw.ai → React 19 + TypeScript + Vite + Tailwind → Edge TTS (free text-to-speech by Microsoft) 💬 What would YOUR AI operations dashboard look like? What sections would you add? Drop a comment — I read every one. Making AI simple and easy to use. For businesses, entrepreneurs, and creatives. #AIAgents #OpenClaw #AIAutomation #AIDashboard #BuildWithAI #AITools #Clearmud #ReactDashboard #AIWorkflow #MuddyOS #VibeCoding #AITeam #OnePersonStartup #BuildInPublic #FreeAITools