Hermes Studio — Web Dashboard for Multi-Platform AI Agents

Introduction

Hermes Studio provides a web-based dashboard for the Hermes Agent ecosystem. It centralizes session management, multi-model chat, scheduled automation, and usage analytics into a single self-hosted interface, giving teams visibility and control over their AI agent operations.

What Hermes Studio Does

• Provides a unified web UI for managing multiple Hermes Agent instances
• Supports multi-model chat sessions across different LLM providers
• Tracks usage analytics including token consumption and cost breakdowns
• Enables scheduled jobs and automated task execution via the dashboard
• Manages user sessions with role-based access and audit logging

Architecture Overview

Hermes Studio is built with Vue 3 and TypeScript on the frontend, communicating with backend services via REST APIs. The application connects to Hermes Agent instances through their native protocol, aggregating session data and metrics into a centralized dashboard. Data is persisted in a local database, and the entire stack runs as a set of Docker containers behind a reverse proxy.

Self-Hosting & Configuration

• Deploy with Docker Compose using the included configuration
• Set API keys for each LLM provider you want to connect
• Configure authentication settings and user roles
• Adjust scheduling parameters for automated tasks
• Point the dashboard to your Hermes Agent endpoints via environment variables

Key Features

• Real-time session monitoring with live token and cost tracking
• Multi-provider model switching within chat sessions
• Visual job scheduler for recurring agent tasks
• Conversation history search and export functionality
• Responsive design that works on desktop and tablet browsers

Comparison with Similar Tools

• Open WebUI — focuses on Ollama and OpenAI chat; Hermes Studio is purpose-built for Hermes Agent orchestration
• LibreChat — general multi-model chat UI; Hermes Studio adds job scheduling and agent management
• Langfuse — LLM observability platform; Hermes Studio combines observability with an interactive chat interface
• LobeChat — feature-rich chat client; Hermes Studio emphasizes agent session management over plugin ecosystems

FAQ

Q: Do I need Hermes Agent installed separately? A: Yes, Hermes Studio is the management dashboard that connects to one or more Hermes Agent instances.

Q: Which LLM providers are supported? A: The dashboard supports any provider that Hermes Agent can connect to, including OpenAI, Anthropic, Google, and local models via Ollama.

Q: Can multiple team members use the dashboard simultaneously? A: Yes, it supports concurrent users with role-based permissions and session isolation.

Q: Is there an API for programmatic access? A: The dashboard exposes REST endpoints that can be used for automation and integration with other tools.

Sources

• https://github.com/EKKOLearnAI/hermes-studio