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Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
60
review score
Problem solved
It solves the fragmentation of managing AI agents across multiple platforms by centralizing chat, session, and job management. Unlike standalone agents, it offers analytics and scheduling, making it easier to oversee agent behavior and performance.
Deployment reality
The available setup signal starts with: Clone the repo and run `pip install -r requirements.txt` then `python app.py`.. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is NOASSERTION. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build multi-platform AI chat applications with persistent session history, schedule automated tasks, and track usage metrics. Real-world use cases include customer support bots that operate across Slack, Discord, and web, with scheduled reporting and analytics dashboards.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
EKKOLearnAI/hermes-studio is tracked as a TypeScript project in the UI Framework, AI Agent, LLM Tool, Data Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 9.3k total stars, with +59 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 88 days ago, and the open issue queue is 125, about 1.35% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 1.1k forks and 9.3k watchers suggest how often the project is reused or followed. License signal: NOASSERTION. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 1 explicit source reference(s) for this report and a recent growth signal of 59. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
LimitedNeeds clearer source references.
License
LimitedLicense is unknown and should be checked before commercial use.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
9.3k Stars
Reuse
1.1k Forks
Attention
9.3k Watchers
Maintenance
moderate
License
NOASSERTION
Open issues
125
Hermes Studio is a web dashboard for Hermes Agent, enabling multi-platform AI chat, session management, scheduled jobs, and usage analytics. Its core value proposition is providing a unified interface to manage and monitor AI agents across different platforms.
UI Framework
Frontend frameworks, design systems, and interface libraries
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
Data Tool
Databases, data pipelines, ETL, analytics, and vector search
Clone the repo and run `pip install -r requirements.txt` then `python app.py`.63
Health Score
Moderate
Commit Activity
Apr 11, 2026
Created
Jul 18, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
EKKOLearnAI
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✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
It solves the fragmentation of managing AI agents across multiple platforms by centralizing chat, session, and job management. Unlike standalone agents, it offers analytics and scheduling, making it easier to oversee agent behavior and performance.
Capabilities
Developers can build multi-platform AI chat applications with persistent session history, schedule automated tasks, and track usage metrics. Real-world use cases include customer support bots that operate across Slack, Discord, and web, with scheduled reporting and analytics dashboards.
Bottom Line
This is ideal for developers managing multiple AI agents across platforms who need centralized control and analytics. Avoid if you only need a single-platform agent or prefer lightweight tools. The key trade-off is added complexity for enhanced oversight and scheduling capabilities.