Run Multiple AI Agents at Once in 15 Minutes ⚚ Hermes Automation (No Coding!)

🔗 Your VPS 24/7 — Hostinger KVM2 (coupon: NOCODEHACK): https://www.hostg.xyz/SHJZe 📋 FREE doc — all commands, card prompts & CRON setup (copy-paste): https://tinyurl.com/hermes-parallel-a... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Five AI agents researched five competitors at the same time, combined their findings, and dropped a finished branded PDF in Telegram. All from one message. No code. In this video, I build parallel agents on Hermes — five agents fan out to research ClickUp, Asana, Monday.com, Notion, and Linear all at once, then one synthesizer agent reads every result and builds a single branded PDF report. When the gateway crashed mid-setup, I show the real fix on camera, not an edited-out happy path. The whole thing runs in minutes and the report arrives on your phone. You never touch the dashboard. The key idea: an agent is a role, not a subject. You don't build one agent per company — you build ONE researcher and point it at as many companies as you want. Need a tenth competitor next week? You text the bot one line and it's in. No new agents, no setup. Then I automate it with CRON. Every morning, the bot pings you with your competitor list. You reply to edit it or just say GO — and the whole pipeline rebuilds itself, fans out, researches everything, and drops the finished report in Telegram before you open your laptop. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 TOOLS USED IN THIS BUILD 🖥️ Hostinger KVM2 VPS clean Ubuntu 24.04, runs Hermes in Docker 🤖 Hermes Agent multi-agent orchestration with Kanban built in, zero orchestration code 🧠 Ollama Cloud 41 models on one API key, a fraction of OpenAI or Anthropic direct pricing 💡 DeepSeek V4 Flash + Pro flash for fast parallel research, pro for the synthesis that needs real reasoning 💬 Telegram + BotFather receive the report and trigger runs from your phone 📋 Hermes Kanban fan out with one profile, fan in with parent dependencies that auto-promote ⏰ CRON Scheduler ping, approve, and run the full pipeline on a daily schedule ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If you want AI agents that run real tasks in parallel, combine their work into one deliverable, and run on a schedule without you involved — this is the full setup. 💬 What's the most annoying manual task in your business right now? Drop it below and I might build the agent pipeline for it next. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏳ TIMESTAMPS 00:00 What parallel agents are (and why sequential is the ceiling) 00:54 One agent per company is wrong — role, not subject 01:57 Create one researcher profile (DeepSeek Flash) 02:39 The toolset fix: give the agent power to create tasks 03:31 Gateway crashed? The Telegram conflict fix 04:52 Build the fan-out — 4 task cards, no assignee 05:27 The synthesizer card + parent dependencies 06:01 The prompt that matters (goal, not how) 07:04 Why the synthesizer sits and waits (fan-in) 07:18 Arm the researchers — one agent, four jobs 08:16 Launch: 4 agents fire in parallel 08:41 The chain reacts — synthesizer wakes up 09:11 The finished PDF lands in Telegram 11:05 Automate it: store the list + builder in memory 11:49 The CRON ping (why it can't ask and wait) 12:32 Force-run the morning ping + say GO 13:19 Add a competitor by text — the dynamic workflow 14:55 The final report — Linear took a position 15:26 Recap + the full hands-off system ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━