Neural Memory

Name: Neural Memory
Author: nhadaututtheky

by nhadaututthekyversion 4.27.2i★ –iRuns on your computer

Registry nameio.github.nhadaututtheky/neural-memory

Install

Overview

Description from the maker (original English)

Persistent memory for AI agents — 55 MCP tools, spreading activation recall.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 68/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "neural-memory": {
      "command": "npx",
      "args": [
        "-y",
        "neural-memory-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add neural-memory -- npx -y neural-memory-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "neural-memory": {
      "command": "npx",
      "args": [
        "-y",
        "neural-memory-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "neural-memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "neural-memory-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account nhadaututtheky, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5687 servers in this category
Published to the registry more recently than 8% of the other 5687 servers in this category
Basic checks equal to or better than 100% of the other 5687 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Neural Memory safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (4.27.2) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

NeuralMemory

Your AI agent forgets everything between sessions. Neural Memory gives it a brain.

Website · Quickstart · MCP Tools · Pro · Changelog

Memories are stored as interconnected neurons and recalled through spreading activation — the same way the human brain works. No vector database. No API calls. No monthly embedding bill.

pip install neural-memory

Restart your AI tool. Your agent now remembers — no init needed, the MCP server auto-initializes on first use.

Already installed? nmem update upgrades in place and detects whether you installed via pip or from source. nmem update --check only reports what is available.

The CLI is nmem (or the longer neural-memory). There is no nm binary.

3 Tools. That's It.

63 MCP tools are available, but you only need three:

Tool	What it does
`nmem_remember`	Store a memory — auto-detects type, tags, and connections
`nmem_recall`	Recall through spreading activation — related memories surface naturally
`nmem_health`	Brain health score (A–F) with actionable fix suggestions

Everything else — sessions, context loading, habit tracking, maintenance — works transparently in the background.

All 63 MCP tools →

What Makes This Different

Most memory tools are search engines. Neural Memory is a graph that thinks.

When you ask "Why did Tuesday's outage happen?", a vector database returns the most similar sentence. Neural Memory traces the chain:

outage ← CAUSED_BY ← JWT expiry ← SUGGESTED_BY ← Alice's review

Relationships are explicit — CAUSED_BY, LEADS_TO, RESOLVED_BY, CONTRADICTS — so your agent doesn't just find memories, it *reasons* through them.

	Search-based (RAG)	Neural Memory
Retrieval	Similarity score	Graph traversal
Relationships	None	24 explicit types
LLM required	Yes (embedding)	No — fully offline
Multi-hop reasoning	Multiple queries	One traversal
Memory lifecycle	Static	Decay, reinforcement, consolidation
Cost per 1K queries	~$0.02	$0.00

Cloud Sync — Your Data, Your Infrastructure

Sync your brain across every machine. Unlike other memory tools, we never store your data.

Laptop ←→ Your Cloudflare Worker ←→ Desktop

↕ Your Phone

You deploy the sync hub to your own Cloudflare account (free tier). Your D1 database, your encryption key, your data. We provide the code — you own the infrastructure.

nmem sync              # push/pull changes

nmem sync --auto # auto-sync after every remember/recall

Sync uses Merkle delta — only diffs travel, not the full brain. Fast, efficient, private.

Cloud Sync setup guide →

Features

Memory & Recall

14 memory types — fact, decision, error, insight, preference, workflow, instruction, and more
Spreading activation — memories surface by association, not keyword match
Cognitive reasoning — hypothesize, submit evidence, make predictions, verify with Bayesian confidence
Workload presets — nmem config preset {balanced,safe-cost,max-recall,chat-heavy} tune the brain for SaaS, frugal mode, deep retention, or conversational agents
Temporal recall — nmem_causal exposes temporal_range and temporal_neighborhood actions; see the Temporal Recall Recipes guide

Knowledge Ingestion

Train from documents — PDF, DOCX, PPTX, HTML, JSON, XLSX, CSV ingested into permanent brain knowledge
Import adapters — migrate from ChromaDB, Mem0, Cognee, Graphiti, LlamaIndex in one command

Lifecycle & Storage

Memory consolidation — episodic memories mature into semantic knowledge over time
Compression tiers — full → summary → essence → ghost → metadata (reclaim storage, keep meaning)
Brain versioning — snapshot, rollback, diff, transplant memories between brains

Community

Brain Store — browse, import, and publish pre-built brains to the community marketplace
3 seed brains — Python Best Practices, Git Workflows, Docker Essentials (ready to import)

Ecosystem

Web dashboard — 7-page React UI with graph visualization, health radar, timeline, mindmap, Brain Store
VS Code extension — memory tree, graph explorer, CodeLens, WebSocket sync (Marketplace →)
Safety — Fernet encryption, sensitive content auto-detection, parameterized SQL, path validation
Telegram backup — send brain .db files to Telegram for offsite backup

Quick Examples

# Store memories (type auto-detected)

nmem remember "Fixed auth bug with null check in login.py:42" nmem remember "We decided to use PostgreSQL" --type decision nmem todo "Review PR #123" --priority 7

Recall

nmem recall "auth bug" nmem recall "database decision" --depth 2

Brain management

nmem brain list && nmem brain health nmem brain export -o backup.json

Sync across devices

nmem sync --full

Web dashboard

nmem serve # http://localhost:8000/dashboard

import asyncio

from neural_memory import Brain from neural_memory.storage import InMemoryStorage from neural_memory.engine.encoder import MemoryEncoder from neural_memory.engine.retrieval import ReflexPipeline

async def main(): storage = InMemoryStorage() brain = Brain.create("my_brain") await storage.save_brain(brain) storage.set_brain(brain.id)

encoder = MemoryEncoder(storage, brain.config) await encoder.encode("Met Alice to discuss API design") await encoder.encode("Decided to use FastAPI for backend")

pipeline = ReflexPipeline(storage, brain.config) result = await pipeline.query("What did we decide about backend?") print(result.context) # "Decided to use FastAPI for backend"

asyncio.run(main())

Neural Memory Pro

Free Neural Memory is complete — 63 tools, unlimited memories, fully offline. You never have to pay.

But past 10K memories, things change. Keyword matching misses semantically related content. Consolidation slows to minutes. Storage grows unbounded. If your agent's brain is getting big, Pro makes it smart.

Free recalls by keyword. Pro recalls by meaning.

Query: "authentication improvements"

Free (FTS5): 2 results — exact matches only Pro (HNSW): 7 results — includes "JWT rotation", "session hardening", "OAuth migration"

What Pro adds

	Free (SQLite)	Pro (InfinityDB)
Recall	Keyword match (FTS5)	Semantic similarity (HNSW)
Speed at 1M neurons	~500ms	<5ms
Scale tested	~50K neurons	2M+ neurons
Compression	Text-level trimming	5-tier vector compression (97% savings)
Consolidation	O(N²) brute-force	O(N×k) HNSW clustering
Storage per 1M	~5 GB	~1 GB
Cloud sync	Manual push/pull	Merkle delta (auto, diffs only)

Pro-exclusive features

Cone Queries — adjustable semantic recall. Narrow the cone for precision, widen for exploration
Smart Merge — consolidation that scales to 1M+ neurons using HNSW neighbor clustering
Directional Compression — compress along multiple semantic axes while preserving meaning
5-Tier Auto Lifecycle — memories flow from float32 → float16 → int8 → binary → metadata. Auto-promote on access

Get Pro

pip install neural-memory                 # Pro features included

nmem shared activate --key NM-PRO-XXXX-XXXX-XXXX # activate license nmem shared status # verify: Pro: Active

[$9/mo](https://neuralmemory.theio.vn/landing/pricing/) — 30-day money-back guarantee. All free tools keep working. Downgrade anytime, keep your data.

Pro quickstart → · Full comparison → · Pricing →

Setup by Tool

Claude Code (Plugin)

/plugin marketplace add nhadaututtheky/neural-memory

/plugin install neural-memory@neural-memory-marketplace

Cursor / Windsurf / Other MCP Clients

pip install neural-memory

Add to your editor's MCP config:

"mcpServers": { "neural-memory": { "command": "nmem-mcp" } } }

OpenClaw (Skill or Plugin)

Skill — one click via ClawHub. Published on every release:

clawhub.ai/skills/neural-memory

Plugin — memory slot replacement. Use this if you want NeuralMemory to *be* OpenClaw's memory provider rather than a skill it calls:

pip install neural-memory && npm install -g neuralmemory

Set memory slot in ~/.openclaw/openclaw.json:

{ "plugins": { "slots": { "memory": "neuralmemory" } } }

Upgrade to Pro

Already using Neural Memory? Just activate your key:

nmem shared activate --key NM-PRO-XXXX-XXXX-XXXX   # activate license

Then enable InfinityDB (semantic search engine):

# ~/.neuralmemory/config.toml

storage_backend = "infinitydb"

Restart your MCP server. Existing memories are auto-migrated from SQLite to InfinityDB on first startup.

Get a license → · Pro quickstart →

Installation extras

pip install neural-memory[server]              # FastAPI server + dashboard

pip install neural-memory[extract] # PDF/DOCX/PPTX/HTML/XLSX extraction pip install neural-memory[nlp-vi] # Vietnamese NLP pip install neural-memory[embeddings] # Local embedding models pip install neural-memory[embeddings-openai] # OpenAI embeddings pip install neural-memory[all] # Everything

Benchmarks vs alternatives

Metric	NeuralMemory	Mem0	Cognee

| Write 50 memories | 1.2s | 148.2s (121x slower) | 290.6s (80x slower)

Only the beginning is shown; read the rest in the repo

Neural Memory

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

NeuralMemory

3 Tools. That's It.

What Makes This Different

Cloud Sync — Your Data, Your Infrastructure

Features

Memory & Recall

Knowledge Ingestion

Lifecycle & Storage

Community

Ecosystem

Quick Examples

Recall

Brain management

Sync across devices

Web dashboard

Neural Memory Pro

Free recalls by keyword. Pro recalls by meaning.

What Pro adds

Pro-exclusive features

Get Pro

Setup by Tool