Zep
Overview
A memory platform for AI agents that continuously learns from user interactions and business data, enhancing personalization and accuracy.
Best For Professions:
Zep is an AI memory platform designed to enhance AI assistants and agents by providing them with long-term memory capabilities. By building a dynamic knowledge graph from user interactions and business data, Zep enables AI agents to recall relevant information from past conversations without including the entire chat history in prompts. This approach reduces hallucinations, improves response accuracy, and allows for personalized user experiences. Zep integrates seamlessly with various AI frameworks and supports multiple programming languages, making it a versatile tool for developers aiming to build more intelligent and context-aware AI applications.
Product overview
Capabilities, pricing and fit
Zep is best understood as agent-memory infrastructure rather than an agent-development framework. Zep provides agent memory through context graphs and retrieval infrastructure.
Information as of July 30, 2026
What it can do
- Agent application development
Zep provides agent memory through context graphs and retrieval infrastructure.[1]
Where it fits best
- Enhancing AI agents with long-term memory capabilities.[1]
Sources (1)
- Agent memory at enterprise scale — ZepOfficial site · checked 2026-07-30
Autonomy level
85/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Zep:
- Enhancing AI agents with long-term memory capabilities.
- Building personalized and accurate AI applications.
- Reducing hallucinations in AI responses by providing contextual knowledge.
- Integrating memory functions into AI agents across various frameworks.
- Improving user experience through AI agents that learn from interactions.
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Popularity level: 72%
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