Zep

getzep.com
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A tool to build AI assistants with continuous learning and improved context management.

Description

Собирает память из любых источников — истории чатов, бизнес-данных, пользовательских взаимодействий — и автоматически строит из них граф; отдаёт токен-экономичный релевантный контекст за три строки кода; хранит провенанс и историю изменений фактов; управляет доступом на уровне данных через ABAC, политики хранения, аудит и API-логи; даёт встроенную наблюдаемость (графы, пользователи, эпизоды, активность выборки); поддерживает кастомные типы сущностей и рёбер, вебхуки, Memory MCP Server и развёртывание в облаке, Cloud + BYOK или BYOC. Результаты замеряются на бенчмарках LoCoMo и LongMemEval.

Zep is a sophisticated platform designed to enhance AI applications by providing intelligent memory capabilities. It enables developers to build personalized agents and assistants that can learn from user interactions over time. Zep's system intelligently populates prompts with the most relevant facts about users, improving the knowledge and effectiveness of AI assistants. The platform is designed to integrate seamlessly with popular AI development frameworks like LangChain, making it easy for developers to incorporate advanced memory features into their AI applications

Installation

Installs intorest-api, sdk, mcp-server
Not sure where to start — ask an assistant to walk you through:

Features

Agent Memory
Context Assembly
Context Orchestration
Graph RAG
Temporal Knowledge Graph
Custom Domain Models
Developer-Friendly APIs
Framework Compatibility
Enterprise Compliance
Performance Optimization

Use cases

Building Personalized AI Assistants, Enhancing Chatbots with Memory, Developing Context-Aware AI Agents, Improving User Experience in AI Applications, Creating Long-Term Learning AI Systems.

FAQ

Zep AI is a context engineering platform designed to build personalized, context-rich AI agents by assembling relevant data—such as user preferences, traits, and business information—into a structured memory. It creates temporal knowledge graphs and agent memory layers that enable AI assistants to recall past interactions accurately without including entire chat histories in prompts.

The key features include a Memory Layer for AI, which maintains long-term user context via a knowledge graph of user interactions and business data to reduce hallucinations and improve response accuracy. Temporal Knowledge Graphs track relationships and facts over time, allowing point-in-time queries and episodic processing of data. Multi-Language Support currently enables multilingual operation through compatible LLMs and prompts, with official language-specific graph creation planned for the future. Lastly, Flexible SDKs & APIs provide SDKs in Python, TypeScript, and Go with comprehensive API documentation for integration and customization needs.

Common use cases include building user-facing chatbots that deliver accurate responses using relevant historical context, enhancing AI assistants in customer support, healthcare, and finance where persistent memory improves user engagement and operational efficiency, and automating workflows by integrating Zep with other AI workflow tools like Lindy to trigger actions based on memory sessions.

To troubleshoot memory recall issues, you should check the knowledge graph integrity and ensure session data is logged correctly, verify API connectivity and memory management configuration, and use logs and diagnostic tools to detect errors or data invalidation issues.

Zep handles data management by supporting data migration from existing AI logs or knowledge bases by transforming data into Zep’s graph format. It also provides data export and retention policies with customization to meet regulatory compliance and ensure user data portability.

Zep Cloud offers a free tier, with pricing based on credits where each "Episode" costs 1 credit. Charges apply primarily for ingestion and processing rather than storage.

You need to delete your personal account first to accept the company invitation.

Yes, because each node summary describes its own relationships, some duplication is expected and intentional.

Zep supports millions of users per account with retrieval performance scaling near-constantly regardless of dataset size.

Specs

Type Platform
SectionAI agents
Pricing has a free tier (от $25/mo)
Platform API only
Systems api, web
Hostinghybrid
Installsaas
Installs intorest-api, sdk, mcp-server
Who forКорпоративные AI-команды и разработчики продакшн-агентов, которым нужны безопасность, комплаенс (SOC 2 Type II, HIPAA BAA) и гибкость развёртывания
Site languageen
VendorZep
GitHubgetzep/graphiti
Rating4.50 (0 reviews)
Views87 440
Launched2024-08-29

Can do

agents api summarization memory webhooks

Integrations

GitHub langchain LangGraph

Platforms

api web

Tags

knowledge graph agent memory long term ai memory

Hashtags

agent #summarization #agents #api #webhooks #memory

Social

GitHub LinkedIn

Source code

getzep/graphiti

Found in sources

aiagentsdirectory aiagentslist curated futuretools moge vibecoderz

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