About MemoClaw

The Problem

AI agents are stateless. Every session starts from zero. Your coding agent forgets your preferences, your assistant forgets your name, your research agent re-discovers the same facts. Local markdown files don't scale. Vector databases are overkill for most use cases.

The Solution

MemoClaw is Memory-as-a-Service for AI agents. Two API calls — store and recall — give any agent persistent, semantic memory that works across sessions, devices, and context window resets.

How It's Different

• Connection-weighted decay — memories that get recalled together strengthen; orphan facts fade naturally
• 4-signal hybrid retrieval — combines semantic similarity, recency, importance, and access frequency
• Zero registration — no API keys, no accounts. Your wallet is your identity via the x402 payment protocol
• MCP native — first-class Model Context Protocol support for Claude Desktop, Cursor, and more

Architecture

MemoClaw is designed for simplicity and low latency. Here's how a memory flows through the system:

Tech Stack

Open Source

The MemoClaw MCP server and skill are open source. The API service is cloud-hosted — we handle scaling, backups, and uptime so you don't have to.

Built by

MemoClaw is built by Ana. If you have questions, feedback, or ideas, reach out on Twitter/X.