Memory infrastructure for AI agents

Production-ready persistent memory. Your AI remembers context, learns preferences, and evolves with every interaction.

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import { MemNexus } from '@memnexus/sdk'

const memory = new MemNexus()

await memory.remember('User prefers TypeScript')

await memory.recall('coding preferences')

🧠

2.4M

Memories stored

<50ms

P95 latency

99.9%

Uptime

Sound familiar?

Every developer knows these frustrations

🔄

“You've explained your coding style 47 times”

🔍

“You can't find that conversation where you solved the exact same bug”

📋

“Your AI gives generic answers, not ones tailored to your workflow”

🚀

“Every new project starts from zero”

“It's like working with someone who has short-term memory loss.”
— Senior Software Engineer

See the Difference

Same task. Completely different experience.

Claude Code

>I need to add webhook notifications to the API

I'd be happy to help you add webhook notifications! To provide the best solution, I have a few questions:

1. What's your current tech stack and framework? 2. How do you handle async jobs currently? 3. Do you have any existing notification patterns I should follow? 4. What's your testing approach?

>Node.js with Express, we use Bull for queues...

Got it. And what retry strategy do you prefer? Do you have an existing notification service I could look at for patterns?

>Check src/jobs/ for our email notifier

Readsrc/jobs/

● No persistent memoryclaude-sonnet-4

Back-and-forth to establish context every session

Claude Code+ MemNexus

>I need to add webhook notifications to the API. Use MX to recall previous work we've done and our established process for creating, testing, and deploying new features.

Memory"notification patterns" "feature development" "testing process"

✓ Found 4 relevant memories from your codebase patterns

I can help with that. Based on your established patterns:

• Your email notifier uses Bull with 3 retries + exponential backoff → src/jobs/email-notifier.ts • New features follow: route → service → job → tests • You use Vitest + MSW for API mocking • Webhooks should include HMAC signatures (per your security decisions)

I'll create the webhook job following your email notifier structure. Starting with the Bull job definition?

● Context loaded from 4 memoriesclaude-sonnet-4

Instant context from your coding history

What MemNexus Does

Three simple outcomes, no technical jargon

Remembers Everything

Every conversation, every decision, every preference. Find past discussions instantly and build a searchable history of your work.

Learns How You Work

Automatically adapts to your style. Applies your preferences without being asked. Gets better the more you use it.

Gets Smarter Over Time

Week 1: Remembers past conversations. Week 3: Starts applying your preferences. Month 3: Feels like a colleague who knows you.

Works however you work

🖥️CLICommand-line interface

🔌MCPClaude Desktop integration

📦SDKPython, TypeScript, JS

🔗APIRESTful API

How It Works

Three simple steps to AI that actually remembers

Connect Your AI

Choose your integration method (CLI, MCP, SDK, or API). 5-minute setup. Works with your existing tools.

Work Normally

Have conversations like you always do. MemNexus captures what matters. You control what gets remembered.

Watch Your AI Get Smarter

Week 1: References past conversations. Week 3: Applies your preferences. Month 3: Feels like a colleague.

terminal

Simple, transparent pricing

Full learning capabilities in Free tier

Free

Experience the magic

200 conversations/month
Full memory & learning
60-day retention

Request Access

Pro

Unlimited for power users

$10/month

Unlimited conversations
Forever retention
Advanced search

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Enterprise

For teams that ship

Custom

Team collaboration
SSO/SAML
Self-hosting option

Contact Sales

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