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.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-temporal-context-memory-to-agent-workflows-with-zep
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
Use the upstream install or setup path that matches your environment:
- Install UV (if not already installed):
- uv sync
Requirements and caveats from upstream:
- Python: pip install zep-cloud
- This project uses UV for Python package management with workspace features.
- Python 3.13+
Basic usage or getting-started notes:
Visit www.getzep.com to sign up for Zep Cloud, our managed service delivering intelligent agent context with <200ms latency, enterprise-grade scalability, and SOC2 Type 2 / HIPAA compliance....
Zep offers comprehensive SDKs for multiple languages:
TypeScript/JavaScript: npm install @getzep/zep-cloud
Source: https://github.com/getzep/zep
Extracted from upstream docs: https://raw.githubusercontent.com/getzep/zep/HEAD/README.md
Documentation
Source
Files (skills)
-
SKILL.md 2 KB
--- name: "Add temporal context memory to agent workflows with Zep" slug: "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." github_stars: 4638 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 Use the upstream install or setup path that matches your environment: - **Install UV** (if not already installed): - uv sync Requirements and caveats from upstream: - **Python**: pip install zep-cloud - This project uses [UV](https://github.com/astral-sh/uv) for Python package management with workspace features. - Python 3.13+ Basic usage or getting-started notes: - Visit [www.getzep.com](https://www.getzep.com/) to sign up for Zep Cloud, our managed service delivering intelligent agent context with <200ms latency, enterprise-grade scalability, and SOC2 Type 2 / HIPAA compliance.... - Zep offers comprehensive SDKs for multiple languages: - **TypeScript/JavaScript**: npm install @getzep/zep-cloud - Source: https://github.com/getzep/zep - Extracted from upstream docs: https://raw.githubusercontent.com/getzep/zep/HEAD/README.md ## Documentation - https://help.getzep.com ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/add-temporal-context-memory-to-agent-workflows-with-zep/)
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