Nous Research's open-source AI agent "Hermes Agent" is drawing attention for using the Markdown-based note store "Obsidian Vault" as a long-term memory layer, reaching target files in seconds when the vault is properly structured.
Hermes Agent × Obsidian · Best Practice
One Index File Cuts Agent Lookup From 2 Minutes to 10 Seconds
Dropping a simple INDEX.md into each top-level Vault folder gives the AI agent a "map" to consult first — the same model on the same task stops wandering and heads straight to the target note.
~2 min
Unstructured Vault — opens 7+ files and still misses the note
~10 sec
Structured Vault — linear path straight to the target
~12×
Faster lookup, same model & same task
Time to reach a 3-month-old brief (same model, same task)
~2 min
Unstructured
~10 sec
Structured
Each block ≈ 10 seconds · one INDEX.md per top-level folder
How the index changes the path
Agent reads INDEX.md first as a table of contents
→
Follows a linear path to the right folder
→
Opens the target note — no wasteful tool calls
Why it works
Low-cost, high-impact "second brain" fix
Bidirectional live-editing of raw Markdown
Old notes hit instantly, no wandering
Still watch for
Very large Vaults still incur search costs
Pair index with Memory, Skills & session search
External edits can trigger FSEvents sync issues
Hermes Agent — MIT-licensed, open-source autonomous agent with persistent memory, a self-improving Skills system, and cross-session learning. Runs on macOS / Windows / Linux, a CLI, and 20+ platforms including Telegram, Discord and Slack. Latest v0.18.0 "Judgement" adds Mixture of Agents, /learn, Gemini Vertex support and Projects.
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