{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/13"}],"enrichment":{"capability":"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.","skillfed_tags":["llm-context","conversation-memory","semantic-search"],"use_cases":["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."],"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\u2014all 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.\n\nThe 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.","worth_installing":"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\u2014they are not declared in the package metadata\u2014and confirm that the LangChain integration maturity matches your needs."},"id":"zep-cloud","links":{"html":"https://skillfed.io/packages/zep-cloud","md":"https://skillfed.io/packages/zep-cloud.md","pypi":"https://pypi.org/project/zep-cloud/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"unclear","name":"zep-cloud","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":315227,"position":7688,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.28.0"}