zep-python
Decision gist · record as of 2026-08-14
Yes, with conditions. The package is well-maintained for current Python versions (3.8–3.12) and has low install friction. However, dormancy for 687 days is a significant red flag: there is no recent maintenance signal, and license terms are unclear. Install only if you are committed to using Zep's backend service and can tolerate potential compatibility drift. Verify the license and test compatibility with your dependency versions before production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Zep Project API key and a running Zep service (cloud or self-hosted) to function; the SDK is a client library and cannot work standalone.
- Low friction install with three lightweight runtime dependencies (httpx, pydantic, typing_extensions).
- However, the package is dormant—no releases for 687 days as of the fact sheet date—which signals maintenance risk for bug fixes or compatibility updates with evolving Python or dependency versions.
License · maintenance · safety
(unclear) — License treatment is unclear; no SPDX identifier or raw license text is available in the metadata. Before adopting this package in a commercial or legally sensitive context, verify the actual license terms from the project repository or documentation.
last release 2024-09-26 (687 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 200,971 downloads/mo, #9,680 on PyPI
Alternatives
Verify before relying
pip install zep-python
from zep_python import ZepClient
client = ZepClient(api_key="your-zep-project-api-key")- Whether the dormant maintenance status reflects active upstream development or true abandonment.
- Current compatibility of the package with modern versions of httpx, pydantic, and typing_extensions.
- Whether LangChain and LlamaIndex integrations mentioned in the description are fully functional in version 2.0.2.
What it is and what it does
Zep is a client SDK for a long-term memory service designed to augment AI assistants with persistent conversation recall. It connects to a Zep backend (cloud or self-hosted) to store chat histories, automatically generate summaries, embed messages for semantic search, and retrieve contextually relevant past conversations. The SDK handles asynchronous operations to avoid blocking user interactions and provides abstractions for document vector search via Document Collections.
The package is built on three core runtime dependencies—httpx for HTTP communication, pydantic for data validation, and typing_extensions for type hints—and supports Python 3.8 through 3.12. It includes optional LangChain integration (ZepChatMessageHistory and ZepVectorStore) for use with LangChain's expression language, though that requires a separate langchain_core installation. Zep Cloud adds higher-level features like fact extraction, dialog classification, and structured data extraction from conversations.
Use it for
- Build chatbots that recall and reference specific details from months-old conversations without storing full history in the prompt.
- Reduce token usage and latency by retrieving only semantically relevant past messages and summaries instead of full conversation logs.
- Automatically classify user intent, emotion, or segment users based on dialog patterns extracted from conversation history.
- Integrate Zep memory into LangChain or LlamaIndex applications to provide persistent context across chat sessions.
- Extract structured business data (e.g., customer preferences, order details) from unstructured chat conversations using schema-based extraction.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package is well-maintained for current Python versions (3.8–3.12) and has low install friction. However, dormancy for 687 days is a significant red flag: there is no recent maintenance signal, and license terms are unclear. Install only if you are committed to using Zep's backend service and can tolerate potential compatibility drift. Verify the license and test compatibility with your dependency versions before production use.
Install
zep-python on PyPI
Before you install
Low friction install with three lightweight runtime dependencies (httpx, pydantic, typing_extensions). However, the package is dormant—no releases for 687 days as of the fact sheet date—which signals maintenance risk for bug fixes or compatibility updates with evolving Python or dependency versions.
Requires a Zep Project API key and a running Zep service (cloud or self-hosted) to function; the SDK is a client library and cannot work standalone.
License in practice
License treatment is unclear; no SPDX identifier or raw license text is available in the metadata. Before adopting this package in a commercial or legally sensitive context, verify the actual license terms from the project repository or documentation.
Quickstart
pip install zep-python
from zep_python import ZepClient
client = ZepClient(api_key="your-zep-project-api-key")
Verify before relying
- Whether the dormant maintenance status reflects active upstream development or true abandonment.
- Current compatibility of the package with modern versions of httpx, pydantic, and typing_extensions.
- Whether LangChain and LlamaIndex integrations mentioned in the description are fully functional in version 2.0.2.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageshttpxpydantictyping_extensions |
| Maintenance | Dormant 687 days since the last release |
| First released | |
| Downloads | 200,971 / month, #9,680 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_python-2.0.2-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 persistence and recall”
- zep-pythonZep is a long-term memory service for AI assistants that persists…
- zep-cloudZep Cloud SDK provides a client library for integrating Zep's context…
- memoriMemori is a Python SDK that automatically captures and recalls…
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 zep-cloud · mem0ai · memori · langmem · honcho-ai · cognee · reme-ai · graphiti-core · memsearch · mempalace