# Hermes Studio — Web Dashboard for Multi-Platform AI Agents

> A self-hosted web dashboard for managing Hermes Agent sessions, multi-model AI chat, scheduled jobs, and usage analytics across platforms.

## Install

Save in your project root:

# Hermes Studio — Web Dashboard for Multi-Platform AI Agents

## Quick Use
```bash
git clone https://github.com/EKKOLearnAI/hermes-studio.git
cd hermes-studio
docker compose up -d
# Open http://localhost:3000 in your browser
```

## 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

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Source: https://tokrepo.com/en/workflows/asset-7706b64a
Author: AI Open Source