What exactly is Memwyre?

Memwyre is a unified AI memory platform that captures your context across tools (browser, ChatGPT, Claude, Cursor) so you never lose an insight, code snippet, or research finding. It makes this knowledge instantly searchable and reusable by any tool.

Is there a free plan?

Yes! Memwyre has a generous free tier that includes up to 50 memories, 10 document uploads, 30 AI chat messages, and full IDE integration via MCP. No credit card required — just sign up and start building your memory layer.

How do I connect Memwyre to Cursor or VS Code?

You can connect Memwyre to Cursor, VS Code, or Claude Desktop using our official Model Context Protocol (MCP) server. This gives your AI assistant direct, real-time access to your entire shared memory layer.

Do you offer a browser extension?

Yes! The Memwyre browser extension (available for Chrome and Edge) lets you instantly clip text, articles, and code snippets directly into your memory layer without breaking your flow.

Is my data private and secure?

Absolutely. Your memory layer is fully private and encrypted. Your data is only accessible to you via authenticated sessions and your personal API keys.

What is the OpenClaw plugin?

The OpenClaw plugin allows autonomous AI agents to read from and write to your Memwyre memory layer. This gives agents persistent memory across runs, letting them build on past debugging sessions and research.

Why not just use ChatGPT's built-in memory?

ChatGPT memory is locked entirely inside ChatGPT. It cannot be accessed by Claude, Cursor, your terminal agents, or other LLMs. Memwyre acts as a universal, shared memory layer that works across all of these tools simultaneously.

How is this different from traditional RAG?

Traditional RAG search takes static documents, chunks them, and searches for matches. Memwyre builds active, connected semantic profiles of your project guidelines, API models, and style rules, updating them dynamically in the background.

How does Memwyre compare to Mem0 or Zep?

Mem0 and Zep are developer databases designed as backend infrastructure for teams building custom agents. Memwyre is a ready-to-use memory platform that connects directly to everyday consumer tools.

Early Access Open

Your AI
should remember everything.

Memwyre is the AI Memory Platform that gives every AI tool, agent, and conversation a persistent, shared memory.

Get Started See Plans

$npx -y install-memwyre

/ THE PROBLEM

[1/9]

Why your AI has amnesia.

Every time you open a new chat tab, you start from zero. Your AI forgets your style guides, database schemas, API keys, and coding conventions.

The Copy-Paste Tax

Developers waste hours pasting markdown guidelines and code context over and over again to keep tools aligned.

Context Window Noise

Feeding massive files into prompts is expensive, introduces latency, and dilutes the model's attention, causing hallucinations.

Stateless Silos

Your browser chat doesn't talk to your IDE, and your terminal agent doesn't know what you discussed 10 minutes ago.

Memwyre's Shared Layer

A single memory layer securely sits between you and all your AI models, retrieving only the exact facts needed.

/ PLATFORM COMPATIBILITY

[2/9]

One memory layer. Every tool connected.

Memwyre is not a standalone chatbot. It is a universal context layer that plugs directly into the models, editors, and terminal tools you already use every day.

Claude Desktop

VS Code

Windsurf

OpenClaw

Claude Code

ChatGPT

Cursor AI

01 / IDE INTEGRATION

Native IDE Memory

Connect your IDE directly via MCP. Past bug fixes, configuration choices, and API schemas become instantly searchable context inside Cursor, VS Code, or Windsurf.

memwyre

Add from memwyre

Manage connectors

Add connector

Tool accessLoad tools when needed

02 / TERMINAL AGENTS

DevOps & Code Agents

Empower terminal tools like Claude Code and OpenClaw. Agents save debug results and project conventions, building cumulative operational memory.

openclaw agent — run #47running

01✦ agent.start0ms

02memwyre.recall("deploy config")

↳3 memories found12ms

03memwyre.recall("last run errors")

↳1 memory found8ms

04agent.task→ running pipeline

05memwyre.save("run #47 output")

✓memory saved3ms

06agent.complete

03 / MULTI-MODEL

Works With Every LLM

One shared memory layer across Claude, ChatGPT, and Gemini. If you explain a code pattern in ChatGPT, your Cursor agent retrieves it instantly when you ask.

/ WHY MEMWYRE

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Context for humans, not just databases.

Mem0 and Zep are built as backend database infrastructure for AI agents. Memwyre is built as the out-of-the-box context layer for individual developers, power users, and the tools they work in daily.

Positioning Dimension	RECOMMENDED	Mem0	Zep AI
Primary Customer Who the product is designed for	Individual Developers & Power Users	AI Agent Developers	AI Agent Developers
Core Product Interface How users access and manage context	Desktop Overlay, Browser, & IDEs	Backend API & SDKs only	Backend API & SDKs only
Time-to-Value Setup Time to connect tools and store first memory	< 5 Minutes	Hours (Code & Database Config)	Hours (Code & Database Config)
Cross-Tool Memory Sync Auto-sharing memories across your workflows	Built-in & Automatic	Requires custom syncing pipelines	Requires custom syncing pipelines
Ready-To-Use Connectors Notion, Google Drive, GitHub sync capability		—	—
MCP Client Support Out-of-the-box Cursor, Claude Desktop integration		—	—
Agent CLI Plugins Native plugins for Claude Code and OpenClaw		—	—
Self-Hostable Fully open-source deployment using Docker

Feature	BEST	Mem0	Zep
Consumer / Dev Focus	✓	✗	✗
Desktop / Browser Interface	✓	✗	✗
Setup < 5 Minutes	✓	✗	✗
Cross-Tool Memory Sync	✓	✗	✗
Workspace Connectors	✓	✗	✗
MCP Client Support	✓	✗	✗
Agent CLI Plugins	✓	✗	✗
Self-Hostable	✓	✓	✗

/ PRODUCT FEATURES

[1/4]

All the tools to make AI remember.

Every feature you need to capture, organize, and query your shared memory platform seamlessly across your workflow.

01 / OMNIPRESENT OVERLAY

Access it from any app

Invoke Memwyre instantly over any app. Access your shared memory layer across ChatGPT, Claude, Notion, or email to capture thoughts mid-conversation and sync context in a single click.

/ INSTALLER

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60-Second Setup.

No complex onboarding or data migrations. Install the MCP server and connect your workspace instantly.

Get Started

View Docs

$npx -y install-memwyre --claude

/ HOW IT WORKS

[2/8]

How Memwyre works.

Read the docs

Memwyre is the unified memory layer built for your AI workflow. Save context once, and access it automatically across every tool.

01 . SAVE ONCE

Instant

context capture

Save prompts, guidelines, or database schemas with one click. They stream directly to your shared memory layer.

mcp & browser streams

02 . AI CONNECTS

Dynamic

no manual tagging

Our platform automatically parses facts, resolves entities, and links context in the background to build a connected memory graph.

continuous background indexing

03 . REMEMBER EVERYWHERE

Instant

context injection

Query from Cursor composition, Claude Desktop, ChatGPT, or terminal. The correct context is injected without manual copy-pasting.

p99 query recall

/ BENCHMARK

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LoCoMo Benchmark.

1,540 questions • 5 categories

If your memory platform returns noisy facts or misses key details, your AI writes broken code. Retrieval quality dictates the quality of your AI outcomes. Here is how Memwyre's accuracy compares on the MemoryBench long-context evaluation dataset:

Read Research

70.5%

Non-Adversarial Recall

Full 1,986 Benchmark Suite

4.9k

Mean Context Tokens

Vs 26k+ Raw Context

53.0

78.6

24.0

57.5

50.0

67.7

48.0

64.2

Single-hop

Multi-hop

Adversarial

Temporal

Old

New

LOCOMO

/ Accuracy Metrics

Single-hopOld: 53.0% / New: 78.6%

Multi-hopOld: 24.0% / New: 57.5%

AdversarialOld: 50.0% / New: 67.7%

TemporalOld: 48.0% / New: 64.2%

Old

New

LOCOMO

Memory vs RAG

Latency (seconds)

403020100

12s

Memory

40s

RAG

40%

Fewer tokens

Compared to RAG baseline

View on X

/ TECHNICAL SPECS

[7/9]

Universal shared architecture.

Plugs into your editor and workflow using Model Context Protocol (MCP) and secure CLI plugin hooks.

MCP Server

Connect Memwyre directly to Claude Desktop or any MCP-compliant client. Give your AI assistant direct access to your knowledge base.

$ npx -y mcp-remote https://server.memwyre.tech/mcp

Browser Extension

The easiest way to feed context into your memory platform. Clip code snippets, documentation, or chats instantly.

Chrome & Edge

OpenClaw Plugin

Give autonomous agents persistent memory. The OpenClaw plugin lets AI agents save and recall context from your vault automatically.

$ openclaw plugins install @memwyre/openclaw

/ PRICING

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AI that works where your team works.

Simple, transparent pricing for individuals and teams. Start building your persistent AI memory layer today.

01 . FREE

forever

A great way to get started with building your persistent AI memory layer.

Up to 50 memories
Up to 10 document uploads
Standard AI token budget
IDE Integration (MCP)
Community Support

Get Started for Free

02 . PRO

Recommended

$12

/ month

Everything in Free, plus unlimited storage and priority features.

Integrations

Unlimited memories & documents
Google Drive & Notion sync
Claude Code, OpenCode & OpenClaw plugins
Browser Extension & MCP IDE Server
Extended daily AI chat quota & support

Start Building Your Brain

03 . ENTERPRISE

Custom

volume pricing

Tailored deployments for teams that need dedicated infrastructure, SSO, and volume pricing.

Everything in Pro
Dedicated infrastructure & SSO
Custom integrations & SLA
Dedicated support

Contact Sales

Blogs

Latest from the Memwyre Blog

/ FAQ

[8/8]

Questions & answers resolved.

The second brain
for your AI.

Get Started Compare Plans

Your AI should remember everything.