
# Okay, what *is* this thing?

Glassmind is a tool that helps AI systems search and understand your notes without uploading your brain to somebody else’s servers.

If you use:
- Obsidian
- markdown notes
- personal knowledge management tools
- giant folders full of half-finished thoughts
- daily notes
- project logs
- research docs
- creative writing
- engineering notes

…Glassmind is designed to make those notes actually usable by AI tools.

---

# The Short Version

Glassmind turns your Obsidian vault into something AI can search intelligently.

Not just:

```text
find exact words
```

but:

```text
find ideas related to what I mean
```

without requiring:
- cloud services
- subscriptions
- proprietary formats
- uploading your notes to random startups

---

# Explain It Like I’m Normal

Imagine you have:
- thousands of notes
- years of project ideas
- meeting notes
- technical docs
- TODOs
- journal entries
- random fragments of thoughts

You vaguely remember writing something useful six months ago.

You search:

```text
"local memory system"
```

But the note was actually called:

```text
"persistent semantic context cache"
```

Normal search often fails there.

Glassmind is designed to make that search work anyway.

---

# How?

Glassmind builds an index of your notes.

Think of it like:
- a library catalog
- a search engine
- a map of your vault
- a memory assistant

It reads your markdown files and stores:
- note titles
- headings
- tags
- links
- sections
- semantic fingerprints ("embeddings")

Then when you search, it tries to find notes related by:
- meaning
- keywords
- tags
- recency
- links between notes
- project relationships

---

# What Are “Embeddings”?

This is the scary AI word everyone uses without explaining.

An embedding is basically:

```text
a mathematical fingerprint of meaning
```

Glassmind converts chunks of text into vectors (lists of numbers) that represent semantic similarity.

Meaning:

```text
"local memory tool"
```

can match:

```text
"persistent semantic cache"
```

even though the words are different.

This is what makes modern semantic search possible.

---

# Is This Another AI?

Not really.

Glassmind is infrastructure.

It does not:
- roleplay
- think
- chat
- plan your life
- replace your notes

It retrieves context.

Think:

```text
AI assistant ← Glassmind ← Your notes
```

Glassmind is the memory layer.

---

# Why Not Just Use ChatGPT Directly?

You can.

But large language models have bad long-term memory.

They:
- lose context
- forget projects
- hallucinate
- cannot automatically understand your vault structure
- do not inherently “know your notes”

Glassmind helps solve that by retrieving useful context automatically.

---

# Why Obsidian?

Because Obsidian is already:
- local-first
- markdown-based
- widely used
- human-readable
- flexible
- not tied to a proprietary database

Glassmind treats your Obsidian vault as the canonical source of truth.

Your notes remain:
- plain files
- portable
- editable without Glassmind
- future-proof

If Glassmind disappeared tomorrow, your notes would still work.

That is intentional.

---

# What Does “Local-First” Mean?

It means:
- your notes stay on your machine
- you control the files
- the system works offline
- cloud services are optional
- the software is designed around ownership

Glassmind is intentionally designed to avoid:
- vendor lock-in
- telemetry creep
- cloud dependency
- “AI platform” nonsense
- enshittification

---

# What Does Glassmind Actually Do?

## Indexing

Glassmind scans your vault and builds a searchable index.

---

## Semantic Search

Find related ideas, not just exact words.

---

## Context Bundles

This is one of the big goals.

Instead of dumping entire folders into an AI prompt, Glassmind tries to gather:

```text
the notes that actually matter
```

for the current task.

Example:

```text
"Help me continue my game engine project"
```

Glassmind might return:
- recent engine notes
- TODOs
- architecture docs
- related experiments
- previous decisions
- linked concepts

This gives AI tools much better context.

---

# What Is RAG?

RAG means:

```text
Retrieval-Augmented Generation
```

Which is an extremely annoying phrase for a simple idea:

```text
Find useful information before asking the AI to answer.
```

Without RAG:

```text
AI guesses from training data
```

With RAG:

```text
AI uses your actual notes/documents
```

Glassmind is a RAG system for Obsidian vaults.

---

# Is This Replacing Obsidian?

No.

Obsidian remains:
- the note editor
- the vault UI
- the writing environment
- the graph view
- the human-facing tool

Glassmind is:
- indexing
- retrieval
- semantic search
- memory infrastructure
- agent tooling

---

# Is This Safe?

The project is designed around:
- local-first storage
- rebuildable indexes
- markdown as source of truth
- minimal hidden state

By default, Glassmind should avoid modifying user notes directly.

Instead it may use:

```text
.agent/
```

for:
- generated summaries
- memory captures
- task state
- logs
- temporary outputs

The idea is:
- your notes belong to you
- generated content is separated
- the system stays understandable

---

# Who Is This For?

Probably:
- software engineers
- researchers
- writers
- worldbuilders
- Obsidian users
- AI workflow nerds
- people building local AI setups
- people tired of cloud everything

---

# What Is This NOT For?

Probably not:
- enterprise surveillance software
- replacing databases
- fully autonomous AGI agent swarms
- “AI employees”
- growth-hacking your notes

At least not intentionally.

---

# Why Does This Exist?

Because many people already use Obsidian as:
- memory
- project state
- idea storage
- engineering documentation
- thinking infrastructure

But AI systems are still surprisingly bad at interacting with that information cleanly.

Glassmind exists to bridge that gap without taking ownership away from the user.

---

# Philosophy

Glassmind is opinionated about a few things.

## Your Notes Should Stay Yours

Markdown files are the canonical source of truth.

---

## Local-First Matters

Software should still function when:
- offline
- self-hosted
- unsupported
- five years old

---

## AI Should Augment Retrieval, Not Replace Thought

Glassmind is designed to help:
- surface context
- reduce friction
- improve continuity

Not automate human meaning out of existence.

---

## Avoid Hidden Magic

The system should be:
- inspectable
- debuggable
- rebuildable
- understandable

If the index breaks, rebuild it.

If the retrieval is bad, improve scoring.

If the AI hallucinates, expose sources.

---

# The Dream

The dream is not:

```text
"AI writes your life for you"
```

The dream is:

```text
"AI can finally understand your existing context well enough to be genuinely useful"
```

That’s a very different goal.

---

# Final Summary

Glassmind is:

```text
local semantic memory infrastructure for Obsidian vaults
```

It helps AI systems retrieve useful context from your notes while keeping:
- ownership
- portability
- transparency
- local control

intact.

Or, less formally:

```text
It lets the robot read your notes without handing your brain to a startup.
```

