add-temporal-context-memory-to-agent-workflows-with-zep

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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.

AI & Automation 19 stars 14 forks Updated today MIT

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Skill Content

# 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/)

Details

Author
agentskillexchange
Repository
agentskillexchange/skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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