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

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