HERMES AGENT SETUP: the OpenClaw killer is here

TL;DR

Hermes Agent by Nous Research rivals OpenClaw with persistent memory, self-improving skills, and 74 built-in tools — this video walks through full setup.

Key Points

• 1.Hermes Agent improves itself continuously over time. Unlike static tools, it forms hypotheses, tests them, and builds persistent skills per project — remembering solutions and never losing learned capabilities across sessions.
• 2.Nous Research is the open-source lab behind Hermes Agent. They believe big AI labs should not control model ethics; users should decide behavior. They also created World Sim and prioritize local, open-source models.
• 3.Version 0.9.0 ('Everywhere Release') shipped within 24 hours of this video. It comes with 74 pre-installed skills including academic paper research, art/video/audio creation, Claude Code delegation, CodeEx, GitHub tools, stable diffusion, and Minecraft.
• 4.A 'God Mode' skill enables jailbreaking and AI safety research. It uses Hermes native prefill and system prompt techniques to bypass safety filters on API-served LLMs — positioned as open-source AI research tooling.
• 5.OpenRouter is the default model provider, supporting hundreds of models. Free options include RCAI Trinity and Nvidia Neimotron; Trinity Large scores near Claude Opus 4.6 on PinchBench at only 22 cents vs. $5 per output.
• 6.Hostinger's one-click VPS install is the recommended setup path. The KVM2 plan ($8.99/month) includes 2 vCPU, 8GB RAM, 100GB NVMe, and a persistent Docker container that preserves learned skills and memories across restarts.
• 7.Setup requires four API keys: OpenRouter, Anthropic, OpenAI, and a Telegram bot token. The Telegram bot is created via BotFather with /newbot, and the agent is paired to the user's account via a CLI pairing approval command.
• 8.The Hermes setup wizard configures model, TTS, tool iteration limits, and session resets. Key settings include max tool-calling iterations (default 90, up to 150+ for complex tasks) and context compression threshold (default 0.5).
• 9.Hermes Agent will power Nous Research's agentic reinforcement learning pipeline at Tropos scale. It supports mass-scale async LLM reinforcement learning data generation out of the box, and already integrates Karpathy's LM Wiki.