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Hermes Eco: An Open Marketplace and Discovery Platform for Building AI Agent Ecosystems

A full-stack AI agent marketplace and discovery platform that supports browsing, searching, verifying, and submitting agents, skills, tools, and workflows based on the Hermes framework. It ensures resource quality through automated GitHub crawlers and 8 verification checks.

AI智能体市场平台Hermes框架资源发现自动验证GitHub爬虫生态系统全栈应用
Published 2026-04-08 07:43Recent activity 2026-04-08 07:51Estimated read 6 min
Hermes Eco: An Open Marketplace and Discovery Platform for Building AI Agent Ecosystems
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Section 01

Introduction / Main Floor: Hermes Eco: An Open Marketplace and Discovery Platform for Building AI Agent Ecosystems

A full-stack AI agent marketplace and discovery platform that supports browsing, searching, verifying, and submitting agents, skills, tools, and workflows based on the Hermes framework. It ensures resource quality through automated GitHub crawlers and 8 verification checks.

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Section 02

Project Positioning and Core Value

Hermes Eco is not just a simple resource list; it is a complete ecosystem hub. The platform's core mission is to enable easy discovery of high-quality AI agent resources while ensuring their quality and credibility through automated verification processes. For developers, Hermes Eco provides a channel to showcase and distribute their work; for users, it offers a screened and verified resource library, significantly reducing the cost of finding suitable tools.

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Section 03

Platform Architecture and Tech Stack

Hermes Eco adopts a modern full-stack architecture with clear division of labor across layers:

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Section 04

Frontend Layer

The frontend is built on React 19 and Vite 6, uses Tailwind CSS 3 for styling, and employs TypeScript to ensure code quality. React Query handles data fetching and state management, React Router manages routing navigation, and Lucide Icons provides a unified icon system. The overall design style leans towards the minimalist aesthetics of Linear and Vercel, with a compact, responsive interface that supports dark mode.

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Section 05

Backend Layer

The backend uses Node.js and Express framework, also developed with TypeScript. Data storage uses SQLite (via better-sqlite3 driver), which ensures deployment simplicity while meeting the needs of medium-scale applications. For security, passwords are hashed using bcrypt (12 rounds), session management uses token mechanism, and all user inputs are HTML-sanitized and validated.

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Section 06

Crawler Layer

This is the most distinctive component of Hermes Eco. The crawler is an independent Node.js CLI tool that automatically discovers repositories with the .hermeseco.json metadata file via the GitHub Code Search API. After discovering resources, the crawler performs 8 verification checks and generates a credibility score between 0 and 1 for each resource.

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Section 07

Public Registry and Discovery Features

The platform's public registry allows users to browse and search all resources. The search supports multiple filtering conditions: resource type (agent, skill, tool, workflow, etc.), category, complexity level, deployment method, etc. This multi-dimensional classification system enables users to quickly locate the resources they need. Featured resources are marked with a golden badge; these resources are promoted via community paid campaigns and get higher exposure on the platform.

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Section 08

Automated Verification System

The verification system of Hermes Eco is its core competitiveness. When the crawler discovers a new Hermes ecosystem resource, it automatically performs the following 8 checks:

Check Item Description
Valid Metadata The .hermeseco.json file exists and is formatted correctly
Non-Fork Repository Ensure it is an original project rather than a copy
Hermes Dependency Hermes is referenced in package.json or requirements.txt
Hermes Import Hermes modules are actually imported in the code
README Mention The README contains the Hermes keyword
Contains Tests The tests/ directory exists
Contains License The LICENSE file exists
Detailed README Includes installation and usage instructions

Based on the check results, resources are marked as:

  • Verified (score ≥0.75): Passed all key checks, quality is credible
  • Unverified (score ≥0.50): Basically meets requirements, but some aspects need improvement
  • Low Quality (score <0.50): Needs improvement