Give agents fast searchable memory with Supermemory

Use Supermemory as an agent memory and context layer for ingesting user facts, documents, connectors, and searchable RAG context across assistant workflows.

Prerequisites

Supermemory account or self-hosted stack; Supermemory API/plugin; agent runtime such as Claude Code, OpenCode, OpenClaw, Hermes, or custom client

Installation

Use the upstream install or setup path that matches your environment:

• npm install supermemory # or: pip install supermemory

Requirements and caveats from upstream:

• python

Basic usage or getting-started notes:

• bash

• typescript

• import Supermemory from "supermemory";

• Source: https://github.com/supermemoryai/supermemory

• Extracted from upstream docs: https://raw.githubusercontent.com/supermemoryai/supermemory/HEAD/README.md

Documentation

• https://docs.supermemory.ai/

Source

• Agent Skill Exchange