ekkolearnai/hermes-studio

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

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Summary Information

Updated 29 minutes ago
Added to GitGenius on September 1st, 2026
Created on April 11th, 2026
Open Issues & Pull Requests: 360 (+0)
GitHub issues: Enabled
Number of forks: 1,315
Total Stargazers: 10,919 (+2)
Total Subscribers: 42 (+0)

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Detailed Description

Hermes Studio is a web dashboard and desktop application that provides a unified workspace for managing multiple AI agents including Hermes Agent, Ekko, Claude Code, Codex, and Pi.

The tool solves the problem of fragmented AI agent management by offering a single local-first interface where users can run chats, group conversations, workflows, coding tasks, voice interactions, and file operations across multiple agent runtimes. It works by maintaining separate control planes for each agent family while providing shared workspace features like session persistence, usage analytics, file browsing, and device discovery. The architecture distinguishes between agent-owned behavior—such as Hermes profiles and skills, or Ekko's approval gates—and studio-wide capabilities like visual workflow automation and scheduling.

Hermes Studio suits developers and teams who want to coordinate work across multiple AI agents without vendor lock-in, particularly those comfortable with self-hosted solutions. It is available as a desktop application for Windows, macOS, and Linux, as an npm CLI package for command-line usage, and as a Docker image for server deployments. The tool emphasizes local-first operation and integration with MCP servers for extensibility. The README does not compare it to alternative multi-agent platforms.

The project maintains active development with regular updates to its core agent integrations and workspace features. The codebase is written in TypeScript and Vue 3, indicating a focus on modern web technologies. Development activity spans both the desktop application layer and the underlying agent coordination logic, with attention to cross-platform compatibility and the distinct requirements of each supported agent runtime.