hermes-brain-template: Obsidian second-brain vault template for a Hermes AI agent

by mistrysiddh · Agent Tool · ★ 5

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentai-memoryautomationdataviewhermeskanbanknowledge-managementllm-memoryobsidianobsidian-plugin

Quick Facts

Stars5
Forks0
LanguageHTML
CategoryAgent Tool
LicenseMIT
Quality Score65/100
Open Issues1
Last Updated2026-10-07
Created2026-09-06
Est. Tokens~21k

About hermes-brain-template

Obsidian second-brain vault template for a Hermes AI agent — session archive + memory review pipeline, Kanban boards, templates, Canvas pipeline map, Dataview queries, and cross-platform (Windows/Linux/macOS) install scripts.

Compatible Skills

These tools work well together with hermes-brain-template for enhanced workflows:

hermes-brain-template alternative? Top 6 similar tools

Looking for a hermes-brain-template alternative? If you're comparing hermes-brain-template with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • jarvis-dashboard by AndrewKochulab · ⭐ 88

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  • ChatCrystal by ZengLiangYi · ⭐ 61

    Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search,

  • enzyme by jshph · ⭐ 51

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  • llm-wiki-template by bashiraziz · ⭐ 50

    A reusable template for building personal LLM-maintained knowledge bases. Implements Karpathy's LLM Wiki patte

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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