Verified project record

EKKOLearnAI/hermes-studio

Hermes Studio is a desktop application, local runtime, and web console for managing Hermes Agent across chat, sessions, models, and automation. It provides unified configuration for eight communication platforms and a local control plane for profiles, providers, and credentials.

Project overview

It addresses the fragmentation of managing multi-platform AI agent chats by bringing sessions, models, credentials, and cron jobs into a single dashboard with native desktop and Docker deployment options.

Project type: MCP · AI Agent · Workflow
Use cases: Knowledge Q&A · Automation
Deployment: Refer to project documentation
License: License pending

Best for

Developers and AI engineers who need to manage profiles, providers, and MCP servers for a local Hermes Agent runtime across multiple messaging platforms.
General users who interact with the system via text and audio to receive streaming responses and scheduled job executions.

Key capabilities

Runs Hermes Agent conversations with persistent local sessions, configures platform channels, automates cron jobs, and manages group chats, skills, and files.
Manages profiles, providers, models, credentials, memory, skills, plugins, logs, and runtime settings from one dashboard, alongside MCP server administration.
Provides unified configuration for eight platforms: Telegram, Discord, Slack, WhatsApp, Matrix, Feishu, WeChat, and WeCom.
Reads assistant replies aloud using multiple providers and supports turn-based voice input.
Integrated terminal with PTY streaming, multi-session support, and file browsing across local, Docker, SSH, and Singularity backends.
Native Electron shell for Windows, macOS, and Linux bundling the Web UI runtime.

Limitations and risks

External TTS providers may continue processing a request after the browser or server aborts.
Custom and OpenAI-compatible MiMo base URLs must be public http/https endpoints and cannot target localhost or private networks.
Default bootstrap credentials are admin and 123456, and users are prompted after login to change them.

Getting started

Difficulty is rated as easy due to pre-built desktop installers, an npm CLI package, and a pre-built Docker image. Users install via npm, desktop installer, or Docker Compose, then start the application or open the local URL.

Alternatives and comparisons

An open-source Agent chatbot platform that integrates with mainstream IM apps and supports plugins, LLMs, and enterprise knowledge bases.
A small, readable self-hosted AI agent core providing WebUI, chat channels, tools, memory, and automation without locking users into a giant platform.
Create and share AI capabilities through a desktop app and MCP server to reuse them across multiple compatible agents and teammates.

Project comparisons

Evidence and sources

GitHub project description: Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
README: A desktop app, local runtime, and web console for
README: Configures platform channels, cron jobs, Kanban tasks, group-chat rooms, and MCP servers around the same Hermes profiles.
README: Chat with agents, manage models and profiles, connect platform channels,
Release: v0.6.30

Reviewed at: 2026-07-18T04:11:39Z

Open original GitHub project