zep-cloud
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Zep Project API key; set ZEP_API_KEY environment variable or pass api_key to the Zep client constructor.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with a release 3 days old.
License · maintenance · safety
(unclear) — 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.
last release 2026-08-11 (3 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 315,227 downloads/mo, #7,688 on PyPI
Alternatives
Verify before relying
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- 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
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 on it.
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
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).
Requires a Zep Project API key; set ZEP_API_KEY environment variable or pass api_key to the Zep client constructor.
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 contextVerify 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
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.9.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packageshttpxpydanticpydantic-corepython-dateutiltyping_extensions |
| Maintenance | Actively maintained 3 days since the last release |
| First released | |
| Downloads | 315,227 / month, #7,688 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: zep_cloud-3.28.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “chat history management SDK”
- zep-cloudZep Cloud SDK provides a client library for integrating Zep's context…
- unique-toolkitProvides high-level abstractions and services (ChatService,…
- zep-pythonZep is a long-term memory service for AI assistants that persists…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also honcho-ai · zep-python · graphiti-core · mem0ai · memsearch · unique-toolkit · pinecone-plugin-assistant · agent-framework-azure-ai · langmem · mindroom