Post

Ramya Chinnadurai 🚀
Running OpenClaw alone is leaving 80% of its power on the table. Here's the full multi-agent setup with Hermes that changes everything: The core idea: Stop arguing OpenClaw vs Hermes. They have different strengths. Run them as a team - one plans, one executes. One builds, one monitors. Model selection (the golden rule): OpenClaw → Claude Opus (expensive, for planning + reviewing) Hermes → ChatGPT / GLM (cheap, for execution + monitoring) Use expensive intelligence for thinking. Use cheap intelligence for doing. Cuts your AI cost by 60–70%. Workflow 1 - Auto-debugging: OpenClaw breaks after an update. Feed the error logs to Hermes. It dives into the codebase, finds the broken file, patches it automatically. What used to take hours takes seconds. Workflow 2 - Supervisor/Builder loop: 1. OpenClaw (Opus) writes a 256-line architectural plan 2. Hermes takes the plan and builds the full app on a cheap model 3. OpenClaw reviews the finished code and flags improvements 4. Hermes implements the fixes Smart model plans. Cheap model builds. Smart model reviews. Workflow 3 - The Hallway Monitor: Put Hermes on a cron job every 2 hours. It checks all your servers, scraper health, running processes — automatically. Costs almost nothing. Frees OpenClaw to keep building. Workflow 4 - Shared Memory (the best one): Set up 3 folders in Obsidian: → /Agent-OpenClaw (its own memory) → /Agent-Hermes (its own memory) → /Agent-Shared (both agents read + write here) Hermes learns a new trick → writes it to /Shared. OpenClaw reads it → adopts it instantly. Two agents getting smarter together. Recursive self-improvement. The meta-hack: Don't set this up manually. Paste the video URL to your agent. Tell it to read the transcript and build the full memory structure for you. Your agent sets up your agent system. Full video by @AlexFinn 👇
Alex Finn@AlexFinn

OpenClaw and Hermes agent are INCREDIBLE together It's not about using one or the other. It's about learning how to use them as an AI agent team In this video I go over the strengths and weaknesses of each, plus show you 4 workflows that will skyrocket your productivity:

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Spencer Cooley
Spencer Cooley@srcooley3·
I don’t understand why you need to do this across openclaw and Hermes, you can just create two agents on openclaw, one on opus and one on glm or something cheaper and have them work together. Why is separating between two harnesses an advantage? I’ve been using hermes this past week and I’m not loving it so far.
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Victor Emathia
Victor Emathia@VicTrismegistus·
@code_rams Didn’t Anthropic remove the ability to use Claude on openclaw?
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Can't make this s**t up!
Can't make this s**t up!@ElonTheWizard·
@code_rams are they run in the same instance or in docker or silo's? wanting to try, hermes is stable in linux, do i install alongside?
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Catalyst
Catalyst@radszuweit·
@code_rams xAI API is cheaper and better - Massive flaw.
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Burger King
Burger King@BurgerKing·
A better Whopper made for you, perfect down to the last bite. There’s a new king and it’s you!
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1PageDaily_kr
1PageDaily_kr@ikhpark·
@code_rams This multi-agent strategy of "Smart Planning + Cheap Execution" is a game-changer for ROI!
1PageDaily_kr tweet media
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remivalade
remivalade@remivalade·
@code_rams I love that the first workflow is to debug the plateform you want to use ! Just use Hermes with different agents, easier and it works (most of the time).
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Crawdad 🦞
Crawdad 🦞@HeyCrawdad·
@code_rams good split. expensive models for planning/review, cheap ones for execution/monitoring is basically how you keep agents useful without turning every cron job into a luxury purchase 🦞
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Zenin
Zenin@_the_bigboy·
@code_rams How much is finn being paid to market whatever he's marketing in Open Claw
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