Add temporal context memory to agent workflows with Zep git:20260710.2925510B

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---
title: "Add temporal context memory to agent workflows with Zep"
description: "Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls."
verification: "security_reviewed"
source: "https://github.com/getzep/zep"
author: "Zep"
publisher_type: "company"
category:
  - "Integrations & Connectors"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "getzep/zep"
  github_stars: 4638
  npm_package: "@getzep/zep-cloud"
  npm_weekly_downloads: 463010
---

# Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

## Prerequisites

Zep Cloud account; Python SDK zep-cloud or TypeScript SDK @getzep/zep-cloud; agent runtime such as LangChain, LlamaIndex, AutoGen, or a custom agent service

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Install the SDK for the target workflow, for example `pip install zep-cloud` or `npm install @getzep/zep-cloud`, configure a Zep API key, write agent messages and events to Zep, and retrieve assembled context before model calls.
```

## Documentation

- https://help.getzep.com

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/add-temporal-context-memory-to-agent-workflows-with-zep/)