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  3. Neural Memory
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Neural Memory

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Persistent memory for AI agents β€” 55 MCP tools, spreading activation recall.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "neural-memory": {
      "command": "npx",
      "args": [
        "-y",
        "neural-memory"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

NeuralMemory

GitHub stars PyPI Downloads CI Python 3.11+ License: MIT VS Code OpenClaw Plugin

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

Website Β· Quickstart Β· MCP Tools Β· Pro Β· Changelog

Neural Memory β€” spreading activation

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

Terminal
pip install neural-memory

Restart your AI tool. Your agent now remembers β€” 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:

ToolWhat it does
nmem_rememberStore a memory β€” auto-detects type, tags, and connections
nmem_recallRecall through spreading activation β€” related memories surface naturally
nmem_healthBrain health score (A–F) with actionable fix suggestions

Everything else β€” sessions, context loading, habit tracking, maintenance β€” works transparently in the background.

All 63 MCP tools β†’


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:

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

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

Search-based (RAG)Neural Memory
RetrievalSimilarity scoreGraph traversal
RelationshipsNone24 explicit types
LLM requiredYes (embedding)No β€” fully offline
Multi-hop reasoningMultiple queriesOne traversal
Memory lifecycleStaticDecay, reinforcement, consolidation
Cost per 1K queries~$0.02$0.00

Cloud Sync β€” Your Data, Your Infrastructure

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

Code
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 β€” you own the infrastructure.

bash
nmem sync              # push/pull changes
nmem sync --auto       # auto-sync after every remember/recall

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

Cloud Sync setup guide β†’


Features

Memory & Recall

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

Knowledge Ingestion

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

Lifecycle & Storage

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

Community

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

Ecosystem

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

Quick Examples

server.ts
# 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
server.ts
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 β€” 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.

Code
Query: "authentication improvements"

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

What Pro adds

Free (SQLite)Pro (InfinityDB)
RecallKeyword match (FTS5)Semantic similarity (HNSW)
Speed at 1M neurons~500ms<5ms
Scale tested~50K neurons2M+ neurons
CompressionText-level trimming5-tier vector compression (97% savings)
ConsolidationO(NΒ²) brute-forceO(NΓ—k) HNSW clustering
Storage per 1M~5 GB~1 GB
Cloud syncManual push/pullMerkle delta (auto, diffs only)

Pro-exclusive features

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

Get Pro

Terminal
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 β€” 30-day money-back guarantee. All free tools keep working. Downgrade anytime, keep your data.

Pro quickstart β†’ Β· Full comparison β†’ Β· Pricing β†’


Setup by Tool

Claude Code (Plugin)
bash
/plugin marketplace add nhadaututtheky/neural-memory
/plugin install neural-memory@neural-memory-marketplace
Cursor / Windsurf / Other MCP Clients

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Neural Memory

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "neural-memory": { "command": "npx", "args": ["-y", "neural-memory"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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