Memo - Hermes Agent

Summary

We should continue using Hermes Agent as the main operational AI layer, with Git-first docs as the durable knowledge layer.

For LinkedIn post creation and personal research, Hermes is already a stronger fit than OpenClaw in the current operating model. The main reason is learning by doing: Hermes remembers preferences, turns repeated workflows into skills, and reuses those skills in later sessions.

OpenClaw can still be useful as a broad gateway and orchestration tool, but it requires more manual work to select, install, and maintain skills, tools, and memory settings.

For setup details, see the Hermes Agent Learning Guide.

Why Hermes is stronger for these work types

LinkedIn post workflow

LinkedIn content benefits from repeatable tone, structure, and review patterns.

Hermes can learn the preferred writing style, common post formats, editing rules, and publishing preparation steps. Over time, this reduces rework and produces content that better matches the expected voice.

Personal research workflow

Personal research benefits from continuity.

Hermes can remember what has already been researched, preferred sources and formats, reusable analysis patterns, and how to turn findings into notes, memos, or Git-first documentation.

This makes Hermes better suited for long-running research than a tool that depends heavily on static, manually selected skills.

Speed and execution

Hermes can use Python and terminal tools directly. It can inspect files, transform content, run scripts, build sites, and verify outputs instead of relying only on model reasoning.

That moves work from instruction to finished output with fewer manual steps.

Why this matters

This matters because Hermes is not just a chat assistant. It is an operating layer for repeatable AI-assisted work.

The value is simple:

• less repeated explanation
• better continuity across sessions
• reusable workflows through skills
• faster movement from idea to output
• stronger connection between chat, files, docs, and automation

Workspace access

You can access the Hermes Agent Workspace here:

• Hermes Agent Workspace

Current access note:

• You can view files.
• You can log in to the shell.
• Tasks and operations appear not to be working yet.
• The password will be sent separately later.

Follow-up next steps

1. Try the fresh Hermes Agent. Use the Hermes Agent Workspace link. The password will be sent separately. We need to fix a time to onboard a new Telegram bot and link your OpenAI account.
2. Migrate or reinstall. We can migrate your current OpenClaw setup to this Hermes Agent, or install a new Hermes Agent if a clean setup is preferred.
3. Keep OpenClaw running. OpenClaw can keep running for now. If my agent-to-agent test works, I will share the result and recommended workflow.