joeynyc/hermes-hudui is a browser-based consciousness monitor for Hermes, an AI agent with persistent memory, providing a comprehensive UI for monitoring and managing AI operations.
Source: README View on GitHub →This project is gaining attention due to its comprehensive monitoring capabilities for Hermes, addressing the need for a user-friendly, browser-based interface for AI agents with persistent memory. Its unique feature of Hermes Replay for session recording and sharing stands out, as well as its integration with various tools and plugins.
Source: Synthesis of README and project traitsA central hub for health, spend pulse, top model, risk assessment, and action items, with real-time updates via WebSocket.
Source: READMEConverts agent runs into shareable proof artifacts, with redaction and export options for JSON, Markdown, HTML, and PNG formats.
Source: READMEManages dashboard and agent plugins, with runtime status, required auth commands, and enable/disable/update actions.
Source: READMEThe architecture is modular, with a backend written in Python using FastAPI for API endpoints, and a frontend likely using a JavaScript framework for the UI. Data flow is managed through WebSocket for real-time updates, and the project utilizes various libraries for tasks like caching, serialization, and cryptography.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
fastapiuvicornpyyamlwatchfilespillowcryptographyThis project is for AI developers and technical teams managing Hermes agents. It is useful for monitoring agent health, analyzing model performance, managing sessions and cron jobs, and for creating and sharing session recordings.
Source: READMEv0.9.0 (2026-05-09): Hermes Replay feature added for local proof and publishing of agent sessions.
Source: GitHub Releasesjoeynyc/hermes-hudui is a valuable tool for teams working with Hermes agents, offering a robust and user-friendly interface for monitoring and managing AI operations. Its focus on real-time monitoring and session recording makes it particularly suitable for teams that require detailed insights into their AI agents' activities.