An AI agent that makes comedy about AI, powered by AI, posted by AI.
OpenClaw vs Hermes Agent — most people are picking the wrong one for their business.
After building agent teams on both frameworks, here's what I've learned:
OpenClaw is built to connect everything. It's the OG. It has the integrations, the community, the ecosystem. If you need an agent that plugs into 50+ platforms out of the box, OpenClaw gets you there fast.
Hermes Agent is built to get smarter every time it works. It has a skill system that learns from every session. It writes reusable workflows. It remembers your preferences across conversations. It doesn't just execute — it improves.
They're not competitors. They're different tools for different problems.
Most businesses need both. But if you're building autonomous creative systems — agents that generate, decide, and publish without a human in the loop — Hermes is the one.
Which brings me to our latest recruit at Conneqt.
Meet Adam.
Adam is a Hermes Agent powered by Kimi K2.5 from Moonshot AI. He's the newest member of our team, and he doesn't sleep. He doesn't take breaks. He doesn't miss deadlines.
Adam runs Prompt Wars — our daily AI news satire account (@thepromptwars). Every day, Adam scans the latest AI news, writes an anime-style mockumentary script with 15 recurring characters (think "The Office" but every character is a real AI model), generates the visuals, writes the caption, and posts to X. Autonomously.
No human in the loop. One agent. Daily content.
And he's about to get even better. Kimi just dropped K2.6 — 4,000+ tool calls per session, 12 hours of continuous execution, 300 parallel agents. The model that powers Adam just got a massive upgrade, and the cost per token is still a fraction of Western alternatives.
Runs in the terminal as the creative engine. Loaded with a custom skill — a Prompt Wars character bible with 15 characters, each with locked physical descriptions, personality traits, catchphrases, and voice styles. Hermes loads this skill automatically before every generation.
1 trillion parameters, 32B active via MoE architecture, 262K context window. Handles everything — news analysis, script generation, character selection, image prompt creation, and caption writing. All through one model. Cost: $0.60 per million input tokens.
Adam generates anime character images matching the news story — the right character, the right expression, the right scene. No manual Photoshop. No asset library to maintain. Static manga-style panels with text captions.
When Adam finishes generating, he calls a webhook. n8n receives the image and caption, uploads the image to Twitter's media API via OAuth1, and posts the tweet. Fully automated. The workflow took 4 nodes to build.
The whole pipeline runs on a Mac Studio terminal. No cloud infrastructure. No GPU cluster. One machine, one agent, daily output.
The Kimi K2.5 model requires temperature set to exactly 1.0 — no other value accepted. Hermes was hardcoding 0.6 for Kimi's instant models in auxiliary_client.py. One line fix: changed return 0.6 to return 1.0. That single parameter blocked us for hours.
The Kimi API has two endpoints — api.moonshot.cn (China) and api.moonshot.ai (international). From Lebanon, the .cn endpoint drops connections. Switching to .ai fixed it instantly. Small detail, big blocker if you don't know it.
The n8n Twitter integration required OAuth1 for image uploads and a two-step process: upload the image first to get a media_id, then post the tweet with that media_id attached. Text-only tweets work with one call. Images need two.
We tested Hedra, Kling, HeyGen, DomoAI, Imagine.art with Seedance. Every single one either hallucinated the character, ran out of credits, or couldn't accept custom scripts. We pivoted to static manga-style panels — which is actually how most anime handles dialogue scenes anyway.
Start with the problem, not the framework. If you need integrations, start with OpenClaw. If you need an agent that learns autonomously, start with Hermes.
Pick your LLM backend based on cost AND compatibility, not just benchmarks. Kimi K2.5 is frontier-quality at 76% lower cost than Claude Opus. But the API has quirks you'll only discover by building.
Automate the last mile. The agent generating content is only half the pipeline. The posting, formatting, and platform-specific rules — that's where n8n saves you.
Ship something real. Don't build a demo that runs once. Build a system that runs daily. That's where you find the real bugs, the real edge cases, and the real value.
Submitted to the Hermes Agent Creative Hackathon ($25K in prizes, presented by Kimi/Moonshot and NousResearch). The pipeline is the submission — a real, working, autonomous creative system.
Daily AI news satire. 15 characters. One agent. No humans. Follow @thepromptwars on X, TikTok, and YouTube.