Give Agents Fast Searchable Memory With Supermemory
BSecurity
Use Supermemory as an agent memory and context layer for ingesting user facts, documents, connectors, and searchable RAG context across assistant workflows.
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---
name: "Give agents fast searchable memory with Supermemory"
slug: "give-agents-fast-searchable-memory-with-supermemory"
description: "Use Supermemory as an agent memory and context layer for ingesting user facts, documents, connectors, and searchable RAG context across assistant workflows."
github_stars: 22457
verification: "security_reviewed"
source: "https://github.com/supermemoryai/supermemory"
author: "supermemoryai"
publisher_type: "vendor_open_source"
category: "Integrations & Connectors"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "supermemoryai/supermemory"
github_stars: 22457
---
# 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](https://agentskillexchange.com/skills/give-agents-fast-searchable-memory-with-supermemory/)