Hermes Agent overview

The next layer is the operator.

Multica shows the visible work board. Claude Code proves a local runtime can execute tasks. Hermes is the persistent agent layer that can remember, coordinate, use tools, run on channels, schedule work, and keep the system moving.

Official Hermes docsBack to Multica MVP
What it is

Hermes is not another ticket on the board.

In the bigger system, Hermes is the agent that can sit above the work: the cheaper Chief of Staff/operator that sees requests, remembers preferences, calls tools, spawns specialists, delivers reports, and keeps momentum without needing every instruction repeated.

Persistent operator

Hermes can act as the always-on Chief of Staff: memory, preferences, sessions, scheduled jobs, messaging channels, and context that survives one terminal run.

Tool-connected agents

The power jump happens when agents can use tools: files, terminal, browser, GitHub, Slack, email, calendars, databases, MCP servers, and internal systems.

Specialists still matter

Keep Multica-style specialist roles. Hermes becomes the operating layer that briefs, coordinates, remembers, verifies, and reports across them.

Less deterministic, more operational

The Claude Code MVP proves the workflow. Hermes adds a cheaper, persistent staff layer that can run across platforms and time, not just one visible demo loop.

How it fits

Multica is the board. Hermes is the operating layer.

MVP demo layer
  • Claude Code runs locally.
  • Multica assigns issues and records handbacks.
  • Four agents prove routing and review.
  • Useful, but still mostly deterministic.
Hermes operator layer
  • Hermes can receive work through terminal or messaging channels.
  • It can hold memory, skills, schedules, and workflow context.
  • It can use tools directly, then brief specialist agents when useful.
  • It turns the demo into an operating system for real work.
Setup path

Use this page as the map, then use the official docs for the wiring.

This page is intentionally high-level. Hermes changes faster than a startup deck after investor feedback, so the authoritative setup steps should come from the Hermes docs.

  1. 1

    Install Hermes

    Install the CLI, then run the setup wizard to configure model/provider basics.

    Open install docs

  2. 2

    Choose model and provider

    Hermes is provider-agnostic: OpenRouter, Anthropic, OpenAI, Nous, Gemini, local/custom endpoints, and more.

    Provider docs

  3. 3

    Enable useful tools

    Turn on the toolsets the operator needs: web, browser, terminal, file, GitHub/MCP integrations, cron, messaging, and memory.

    Tool docs

  4. 4

    Connect channels

    Run Hermes where the work happens: terminal first, then Telegram, Slack, Discord, email, or other gateway platforms.

    Messaging docs

  5. 5

    Add memory, skills, cron, and MCP

    This is where the operator becomes useful over time: durable memory, reusable skills, scheduled jobs, and tool servers wired to real systems.

    MCP docs

Quick start

The rough terminal shape.

Do not treat this as the full manual. It is the skinny doorway into the real docs.

# Install Hermes
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

# First setup
hermes setup

# Start the terminal agent
hermes

# Check health
hermes doctor

# Configure tools and messaging when ready
hermes tools
hermes gateway setup
How this links back to YDY

The bigger pattern: operator, board, specialists, tools.

YDY is building toward a system where Hermes can act as the operator, Multica can keep work visible, and specialist agents can execute narrow lanes using real tools. The goal is not more bots. The goal is less cognitive admin and more shipped work.

Set up Hermes when you want the system to keep moving without babysitting.

The Multica MVP proves the shape. Hermes is how that shape becomes a working operating layer: memory, tools, schedules, channels, and a persistent agent that can coordinate the specialists.

Start with Hermes docsGitHub repoBack to Multica MVP

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