zep-cloud

What it is and what it does

Zep Cloud SDK is a Python client for Zep, a context engineering platform designed to give AI assistants access to long-term conversation memory. It persists chat histories to a backend service, automatically generates summaries, embeds messages for semantic search, and surfaces relevant context from past conversations—all asynchronously to avoid blocking the user experience. The SDK abstracts away the complexity of managing conversation state, allowing developers to focus on prompt construction by automatically injecting recent messages, conversation summaries, and contextually relevant data from the entire chat session.

The package depends on httpx for HTTP communication, pydantic for data validation, and standard utilities like python-dateutil. It supports Python 3.9 through 3.12 and is actively maintained. Zep Cloud also offers higher-level features like automatic fact extraction, dialog classification, and structured data extraction from conversations. The SDK includes optional LangChain integration for use with LangChain's expression language, though that integration may still be in release-candidate status.

Use it for:

• Build a customer support chatbot that recalls previous interactions across multiple sessions without hallucinating or losing context.
• Create a personalized AI assistant that understands user preferences and history to provide contextually relevant responses.
• Implement semantic search over conversation archives to surface relevant past discussions when handling new user queries.
• Extract structured business data from chat conversations automatically without manually defining schemas upfront.
• Classify user intent and emotion from dialog to route conversations or trigger downstream workflows.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Zep Cloud SDK provides a client library for integrating Zep's context engineering platform into AI assistant applications, enabling persistent chat history recall, automatic summarization, and semantic search over conversations.

Yes, with conditions. Install if you need persistent, searchable conversation memory for an AI assistant and are willing to use Zep's cloud service (which requires an API key and incurs backend costs). The SDK itself is lightweight, actively maintained, and has no known vulnerabilities. However, verify the license terms first—they are not declared in the package metadata—and confirm that the LangChain integration maturity matches your needs.

Install

zep-cloud on PyPI

pip install zep-cloud

uv add zep-cloud

poetry add zep-cloud

Installing zep-cloud

Before you install

Low install friction with a pure-Python wheel distribution. Active maintenance with a release 3 days old. Runtime dependencies are lightweight and well-established (httpx, pydantic, python-dateutil, typing_extensions).

License in practice

License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before adopting in a commercial or copyleft-sensitive project.

Quickstart

pip install zep-cloud

from zep_cloud import Zep

client = Zep(api_key="your-zep-project-api-key")
# Use client to manage chat histories and retrieve context

Requires a Zep Project API key; set ZEP_API_KEY environment variable or pass api_key to the Zep client constructor.

Verify before relying

• Exact license terms and compliance implications for commercial use
• Whether LangChain integration (ZepChatMessageHistory, ZepVectorStore) is stable or still release-candidate only
• Performance and cost characteristics of the cloud service backend

Package facts

Evidence: zep_cloud-3.28.0-py3-none-any.whl

Tags

More Python Modules packages