hermes-vault

Manage local knowledge bases with filesystem-based note organization and search.

1|Updated May 21, 2026

Search Tags:#note-taking #knowledge management #search #knowledge base #organize

Ready to run

npx skills add https://github.com/blueskies1818/hermesALIone --skill hermes-vault

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hermes-vault
Source: https://github.com/blueskies1818/hermesALIone/tree/main/Agent/skills/note-taking/hermes-vault
Command: npx skills add https://github.com/blueskies1818/hermesALIone --skill hermes-vault

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The Hermes Vault Skill unit addresses the challenge of organizing and managing vast amounts of knowledge efficiently, providing a structured and searchable system for personal or professional use.

Core Features & Use Cases

Multi-Bucket Knowledge Management: Organize notes into buckets, creating focused knowledge bases for different topics.
Filesystem-Based Structure: Ensures that files are authoritative and easily accessible.
Search and Navigation: Facilitates quick searches and navigation through knowledge bases.
Note Authoring: Allows for Markdown-formatted note creation with structured frontmatter.
Search Strategy and Token Budgets: Optimizes search performance by controlling the depth and token budget of searches.
Bucket Management: Simplifies the creation, organization, and deletion of knowledge bases.
Workflow Reference: Provides a clear guide for common tasks within the vault.
Use Case: Ideal for managing research notes, educational resources, or personal knowledge bases.

Quick Start

Use the 'vault_list_buckets' command to see all available knowledge bases.

Frequently Asked Questions about hermes-vault

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I organize a local knowledge base using the filesystem?▼

You can organize a local knowledge base by structuring notes into multiple filesystem-based buckets. This approach ensures files remain authoritative and easily accessible while providing structured search and navigation capabilities.

What is the best way to manage research notes with Markdown and frontmatter?▼

Managing research notes with Markdown and frontmatter is handled through structured note authoring. The system creates Markdown-formatted files with structured frontmatter, allowing efficient metadata management and search across dedicated topic buckets.

Do I need Python scripting capabilities to manage a filesystem-based knowledge base?▼

Yes, you need Python scripting capabilities and local file system access to manage this knowledge base. The Skill relies on Python scripts and filesystem access to execute search, metadata management, and bucket navigation tasks.

How does search strategy and token budgeting work for local note-taking systems?▼

Search strategy and token budgeting optimize search performance by controlling the depth and token budget of queries. This mechanism ensures efficient search execution when navigating and retrieving information from large local knowledge bases.

Can I create separate knowledge bases for different topics using buckets?▼

Yes, you can create separate knowledge bases for different topics using buckets. Multi-bucket knowledge management allows you to organize notes into focused, topic-specific buckets and simplifies the creation, organization, and deletion of these bases.