rhino-acoustic

rhino-acoustic / NeuronFS

Public

Structure is Context. 0-byte files govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.

ai-agent ai-safety cursor-rules file-system guardrails
53
9
69% credibility
Found Mar 31, 2026 at 53 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

NeuronFS uses folders to organize and automatically compile AI behavior rules into ready-to-use instructions for coding assistants like Cursor and Claude.

How It Works

1
🔍 Discover a smarter way to guide your AI

You find NeuronFS, a simple folder system that turns everyday rules into smart guides for your AI coding helper, replacing long messy instructions.

2
📥 Get the free tool

Download the ready-to-use program that reads your folders and makes them work with your favorite AI editor.

3
📁 Build your rule folders

Create folders named after rules you want your AI to always follow, like 'never skip checks' or 'use safe file copies' – no typing long lists anymore.

4
✨ Turn folders into AI magic

With one click, the tool reads your folders and creates perfect instructions that your AI loads automatically every time.

5
🤖 Connect to your AI editor

Drop the ready instructions into your AI tool like Cursor or Claude, and watch it follow your rules without reminding it.

🎉 Your AI thinks like you

Now your AI helper sticks to your rules perfectly, saves time on fixes, and grows smarter as you add more folders – zero cost, total control.

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Star Growth

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AI-Generated Review

What is NeuronFS?

NeuronFS turns your filesystem into a brain for AI agents: folders become neurons, paths form rule sentences, and counter files track synaptic weights. Run a Go binary to compile this structure into prompts for Cursor, Claude, or Gemini—replacing 1000-line edits with `mkdir` and `neuronfs --emit`. It delivers OS-native constraints with zero infrastructure, claiming ~200x token efficiency via folder structure that reshapes context structure windows for language models.

Why is it gaining traction?

Unlike Mem0 or Letta's server-bound vector DBs, NeuronFS runs on plain folders—portable across AIs via `cp -r brain/`, with git for versioning and `ls -R` audits. Self-evolution kicks in from corrections: AI mistakes auto-grow neurons or trigger bombs for hard blocks. Developers dig the github structure best practices it enforces for agents, plus 0-byte ops that dodge invalid context structure pitfalls.

Who should use this?

AI agent builders chaining LLMs for code gen, ops scripting (NAS transfers, DB rules), or multi-agent teams sharing a brain folder. Ideal for frontend/backend devs using Cursor/Claude who hate prompt drift, or solo ops enforcing donabedian structure context process outcomes framework in scripts.

Verdict

Grab it if you're prototyping agent context structure—CLI like `neuronfs brain --api` spins up a 3D dashboard instantly. 53 stars and 0.699999988079071% credibility score signal early maturity (solid tests, bilingual docs), but expect tweaks for production scale.

(198 words)

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