raphasouthall

raphasouthall / neurostack

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Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq install.

neurostack.sh ai-memory knowledge-graph local-ai local-first markdown
12
1
100% credibility
Found Mar 15, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

NeuroStack is a local tool that builds and maintains a personal knowledge vault from Markdown notes, offering semantic search, knowledge graphs, stale note detection, and integration with AI tools via a standardized protocol.

How It Works

1
🔍 Discover your second brain

You hear about NeuroStack, a simple tool that turns your notes into a smart, searchable knowledge vault that improves over time.

2
📦 Get it set up easily

With one quick step, you add the tool to your computer—no complicated setups needed.

3
🧙 Answer a few questions

A friendly guide asks about your notes folder and preferred smarts level, setting everything up perfectly for you.

4
Pick your power level
🚀
Full power

Unlock meaning-based searches and smart summaries for richer insights.

⚡
Quick start

Get fast keyword searches and note connections right away.

🌐
Explore themes

Reveal topic clusters across all your notes.

5
📝 Your notes come alive

Point it at your files, and it organizes everything, spotting outdated notes and highlighting what's important.

6
🔍 Ask anything

Search by what you mean, not just keywords, and get exactly the right notes every time.

🧠 Smarter every day

Your knowledge vault learns from use, surfaces fresh ideas, and gives your AI helpers perfect memory—growing wiser as you add more.

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Star Growth

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AI-Generated Review

What is neurostack?

NeuroStack is a Python CLI tool and MCP server that builds, maintains, and searches a local knowledge vault—your second brain AI starting today. Point it at Markdown notes from Obsidian or Logseq, and it indexes by meaning with hybrid FTS5 plus semantic search, generates summaries and triples, maps wiki-link graphs, and detects stale content. Install via one npm command with zero prerequisites; works with any AI provider through MCP for Claude Code, Cursor, or custom pipelines.

Why is it gaining traction?

It stands out with dead-simple setup—no Python hassle, auto-Ollama handling—and token-thrifty tiered retrieval that escalates from 15-token triples to full notes, slashing RAG costs by 96%. Neuroscience-inspired smarts like hot-note boosting and drift detection keep vaults fresh without manual cleanup, plus profession packs scaffold researcher or devops workflows instantly. MCP compatibility gives it second brain app legs across AI tools, unlike siloed alternatives.

Who should use this?

DevOps engineers tracking runbooks and incidents, researchers synthesizing papers, or developers logging architecture decisions will love the workspace-scoped search and agent memories for conventions/bugs. It's ideal for second brain methode users wanting AI long-term memory without cloud lock-in—frontend teams tired of scattered notes, data scientists organizing analyses, or writers building worldbuilding vaults.

Verdict

Early alpha with 12 stars and 1.0% credibility score means solid tests but watch for rough edges; try lite mode for quick wins. Worth evaluating if you need neurostack software for a local second brain ai that integrates seamlessly via MCP. (198 words)

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