# Hermes Studio — Web Dashboard for Multi-Platform AI Agent Management

> A web-based dashboard for managing Hermes AI agent sessions across multiple platforms, with scheduled jobs, usage analytics, and a multi-model chat interface built with Vue 3 and TypeScript.

## Install

Save as a script file and run:

# Hermes Studio — Web Dashboard for Multi-Platform AI Agent Management

## Quick Use
```bash
git clone https://github.com/EKKOLearnAI/hermes-studio.git
cd hermes-studio
npm install
npm run dev
```

## Introduction
Hermes Studio is a self-hosted web dashboard for managing Hermes AI agent sessions. It provides a centralized interface for multi-platform chat, session management, scheduled job execution, and usage analytics. Built with Vue 3 and TypeScript, it gives teams visibility into their AI agent operations through a clean web UI.

## What Hermes Studio Does
- Provides a web-based chat interface for interacting with Hermes agents across multiple LLM providers
- Manages and organizes agent sessions with tagging, search, and archival features
- Schedules recurring agent jobs with cron-like timing for automated workflows
- Tracks usage metrics including token consumption, cost estimates, and session duration
- Supports multi-model configuration letting users switch between providers per session

## Architecture Overview
Hermes Studio is a Vue 3 single-page application backed by a TypeScript server. The frontend renders the dashboard, chat views, and analytics panels. The backend manages session state, job scheduling, and communication with LLM provider APIs. Data is persisted in a local database, keeping the deployment self-contained. The modular design separates the agent runtime from the dashboard, allowing independent scaling.

## Self-Hosting & Configuration
- Clone the repository and run npm install to set up dependencies
- Start the development server with npm run dev or build for production with npm run build
- Configure LLM provider API keys through the web dashboard settings page
- Set up scheduled jobs using the built-in cron editor in the dashboard
- Deploy with Docker using the included docker-compose.yml for production environments

## Key Features
- Multi-model support lets users switch between OpenAI, Anthropic, and other providers per session
- Scheduled jobs automate recurring agent tasks with configurable timing and retry logic
- Usage analytics dashboard shows token usage, cost breakdown, and session activity over time
- Session management with full conversation history, search, and export capabilities
- Self-hosted deployment keeps all data under your control

## Comparison with Similar Tools
- **Open WebUI** — general LLM chat UI; Hermes Studio adds job scheduling and usage analytics
- **Hermes Desktop** — native desktop app for single-user use; Hermes Studio is a web dashboard for teams
- **LibreChat** — self-hosted multi-AI chat; Hermes Studio focuses on agent management and scheduling
- **LobeChat** — feature-rich chat UI; Hermes Studio emphasizes operational dashboards and metrics
- **Grafana** — observability platform; Hermes Studio is purpose-built for AI agent session management

## FAQ
**Q: Can multiple team members use Hermes Studio simultaneously?**
A: Yes, the web dashboard supports concurrent users with separate session contexts.

**Q: What databases does Hermes Studio use?**
A: It uses a lightweight local database by default. The architecture supports additional database backends for larger deployments.

**Q: How do scheduled jobs work?**
A: You configure jobs with a cron expression and a prompt or task definition. Hermes Studio runs the agent at the scheduled time and stores the results.

**Q: Is there a Docker deployment option?**
A: Yes, the repository includes a docker-compose.yml for one-command production deployment.

## Sources
- https://github.com/EKKOLearnAI/hermes-studio


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Source: https://tokrepo.com/en/workflows/asset-405a8a99
Author: Script Depot