@Saboo_Shubham_: How I built an AI Agent team that runs 24/7 explained in 19 minutes. OpenClaw is where the squad started. Hermes is whe…
Summary
The author explains how they built an AI agent team that runs 24/7 using OpenClaw and Hermes, accessible via Telegram, with features like cron scheduling, memory, self-improvement loops, and escalation to manage the Awesome LLM Apps repo and stay updated.
View Cached Full Text
Cached at: 06/28/26, 08:06 PM
How I built an AI Agent team that runs 24/7 explained in 19 minutes.
OpenClaw is where the squad started. Hermes is where it’s evolving. YES, I use both of THEM just via Telegram.
4 things that makes my agent team work like humans:
- Automated Cron: Agents run pro-actively on schedules and heartbeats
- Memory: They keep context about my preferences, audience, past performance, and decisions.
- Self-improving review loops: Each agent reviews its own work monthly. Monica reviews the entire squad bi-weekly and grades them.
- Escalation: They do the work, but I still make the final decision.
These agents manage the open-source Awesome LLM Apps repo with 115k+ GitHub stars and help me stay up-to-date with pro-active daily signals.
I operate like a CEO reviewing a squad from my phone. The agents keep the work moving until I have to step in.
You can also watch the full breakdown on YouTube.
Haha. LOL
Thank you!
Enjoy!!
Thanks!
Thanks!
Thank you!
Similar Articles
@rohit4verse: https://x.com/rohit4verse/status/2070861975358525500
This article deconstructs the architecture behind personal AI agents like Hermes and OpenClaw, explaining how persistent, always-on programs that run on personal hardware can filter and summarize information for the user, moving beyond the chatbot paradigm.
@TheTuringPost: The AI Agent stack in 2026 OpenClaw → local agent as personal control plane Hermes Agent → local agent with self-improv…
This article recaps the AI agent landscape in 2026, highlighting local agents like OpenClaw and Hermes, self-improvement loops, VLA models for physical AI, and the growing importance of infrastructure for trusted agent systems.
Roughly 3 month running OpenClaw as my daily agent system. What worked, what broke, what still annoys me.
A 13-week recap of using OpenClaw as a daily AI agent on a Raspberry Pi, highlighting strengths like cron-based automation and memory curation, and pain points like model config issues and subagent orchestration.
@atomicbot_ai: Hermes Agent vs OpenClaw using Qwen 35B Local Model We asked agents to scrape GitHub star history for both tools, find …
A comparison of Hermes Agent and OpenClaw using Qwen 35B local model, where the agents scrape GitHub star history, identify growth spikes, and build live dashboards. OpenClaw took 12m 01s (203k tokens), Hermes took 33m 01s (257k tokens), with different approaches.
@Saboo_Shubham_: This is going to be HUGE for Hermes and OpenClaw Agents. Telegram just turned bots from chat participants into callable…
Telegram's update turning bots into callable agents could enable powerful integrations with Hermes and OpenClaw AI agents, allowing agent-to-bot communication, guest mode, and streaming responses.