# How I Built My 10 Agent OpenClaw Team Source: https://www.youtube.com/watch?v=HzVYgpMxMLE Recap page: https://rapidrecap.app/video/HzVYgpMxMLE Generated: 2026-02-15T19:32:34.704+00:00 --- ## Quick Overview The presenter successfully built a 10-agent team using OpenClaw, detailing the setup process which involved using a dedicated Mac Mini accessible remotely via Tailscale, and outlining the specific roles (Project Managers, Builder, Researchers, Chief of Staff, NLW Tasks, AIDB Finance) and operational concepts like Heartbeats and Cron jobs to manage persistence and workflow. **Key Points:** - The presenter successfully created a 10-agent team using OpenClaw, managing roles such as Project Managers, Builder, Researchers, Chief of Staff, NLW Tasks, and AIDB Finance agents. - The foundational hardware setup involved a Mac Mini, which was made remotely accessible via Tailscale to ensure agents could function even when the host machine was locked or disconnected. - Key architectural elements for managing the agents included Heartbeats (firing every 30 minutes, or customizable) for status checks and Cron jobs for scheduling specific tasks like daily updates. - The Builder agent was the first agent built, designed to handle iterative, discrete coding projects, ideally running while the user slept. - A significant challenge encountered was agent flakiness and the need to calibrate quality, especially when using Claude as the core model. - The presenter emphasized that the system's success relies on persistence, allowing agents to work around the clock and integrate with various tools like Telegram. - The final setup involved agents interacting with each other and external systems, with a Mission Control dashboard providing oversight for agent health, context windows, and costs. ![Screenshot at 00:12: The title slide visually introduces the core concept: 'HOW I BUILT MY 10 AGENT TEAM WITH OPENCLAW', featuring the main lobster-like robot overseeing nine smaller, identical robots working on laptops.](https://ss.rapidrecap.app/screens/HzVYgpMxMLE/00-00-12.jpg) **Context:** The video serves as a detailed tutorial and case study explaining how the creator built and managed a complex, multi-agent AI system using the OpenClaw framework. OpenClaw is presented as an AI assistant tool that runs locally and integrates with various chat applications and services, allowing for autonomous workflows managed through a custom 'Mission Control' dashboard. ## Detailed Analysis The presenter details the creation of a 10-agent team using OpenClaw, starting with the justification for adopting this technology over existing trends due to its flexibility and strong community documentation. The foundational step was setting up a Mac Mini, accessible remotely via Tailscale, to ensure agents could operate continuously, even when the lid was closed or the screen was off. The presenter then explains core OpenClaw concepts like Identity, Heartbeat (defaulting to 30-minute intervals, but customizable), and Cron jobs for scheduling. The first agent built was the 'Builder' agent, designed for iterative coding tasks that could run overnight. The presentation moves into practical findings, noting that the Builder excels at discrete projects but struggles with complex, long-running tasks (overnighters). A recurring challenge was calibrating the quality of the agents, especially when using Claude, and dealing with flaky heartbeats. The presenter also discusses the importance of the custom Mission Control dashboard for monitoring agent status, context, and costs, which provided visibility lacking in simple chat integrations. For implementation, the presenter details the specific roles assigned to the 10 agents, including Project Managers (Intel PM, Growth PM, Training PM), Research agents (Maps Research, Radars Research), and specialized roles like AIDB Finance, NLW Tasks, and Chief of Staff. The system is designed so agents interact with each other (e.g., Chief of Staff triages tasks for Project Managers) and external systems, leveraging persistence to maintain context across long operational periods. The presenter concludes by encouraging viewers to try building their own agent teams, noting that the process, while involving some initial technical hurdles, offers significant ROI. ### Introduction & OpenClaw Advantages - The presenter chooses OpenClaw for its digital employee capability, flexibility, customizability, and strong community/documentation, contrasting it favorably with other AI trends. ### Initial Setup Steps - Setup requires a Mac Mini made accessible remotely via Tailscale to ensure continuous operation; installation includes Node.js and Claude Code for building. ### Explaining OpenClaw Architecture - Core components include Identity, Heartbeat (status checks, default 30 mins), Cron (scheduling), and Shared Access, all governed by a Soul MD file defining agent personality and rules. ### Deciding Which Agents to Build - Agents were categorized by need: Work on the go (mobile management via Telegram), Persistent work (round-the-clock), and Scheduled work (like the 8 AM daily status updates). ### Mapping Work to Agents - The process involved auditing daily tasks, spotting persistence/scheduling wins, and prioritizing ROI candidates; the Builder agent was chosen first for iterative coding work. ### Research Agent Findings & Challenges - Research agents benefit from persistence, feeding data into Maturity Maps and Opportunity Radars; challenges include calibrating Claude quality, flaky heartbeats, and needing to requisition agents without losing mission focus. ### System Architecture & Future - The system uses a three-layer architecture (OpenClaw VPS, Vercel Control Plane, Supabase Shared Cortex) involving a 6-step autonomous loop for feedback and execution, with future plans including Supermemory integration. ![Screenshot at 00:12: Title card displaying the presentation's topic: 'HOW I BUILT MY 10 AGENT TEAM WITH OPENCLAW', featuring a large lobster robot leading a line of smaller ones working on laptops.](https://ss.rapidrecap.app/screens/HzVYgpMxMLE/00-00-12.jpg) ![Screenshot at 01:01: The OpenClaw Mission Control dashboard showing status indicators \(Active, Info, Error\) for several agents like Maps Research, Radars Research, and Builder, with a central list of running jobs.](https://ss.rapidrecap.app/screens/HzVYgpMxMLE/00-01-01.jpg) ![Screenshot at 01:15: Slide titled 'Why Jump on This Trend' listing key benefits: Digital employees, Flexible & customizable, and Strong community and documentation.](https://ss.rapidrecap.app/screens/HzVYgpMxMLE/00-01-15.jpg) ![Screenshot at 02:14: Slide titled 'Set Up Claude Projects' presenting two options: 'Your build partner' and 'Structured project scaffolding', indicating the use of Claude for development.](https://ss.rapidrecap.app/screens/HzVYgpMxMLE/00-02-14.jpg) ![Screenshot at 04:29: Slide titled 'First Step: Mac Mini' detailing prerequisites: Isolation sandbox and Accessibility from anywhere, achieved using Tailscale.](https://ss.rapidrecap.app/screens/HzVYgpMxMLE/00-04-29.jpg)