Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
Zep is a context engineering and agent memory platform that assembles relevant context from chat history, business data, and user interactions for AI agents. It builds a unified temporal context graph with sub-200ms retrieval latency, enabling personalized and reliable agent performance across any framework.
Parse Score
#69 of 176 in LLM Agent Frameworks and Tooling
Rivals
Mem0 is the brand AI weighs against Zep most, and it leads on agent memory integration.
Sources
getzep.com shapes more of what AI says about Zep than any other source, at 23% of its citations.
machinelearningmastery.com · arize.com · arxiv.org · medium.com
The market map
LLM Agent Frameworks and Tooling →Excerpts where Zep appeared in the AI's answer

Zep — particularly strong if memory needs time, relationships, and changing facts

Zep : Specializes in temporal and episodic memory, organizing past interactions into a knowledge graph
Excerpts where Zep appeared in the AI's answer

Zep / Graphiti — Best for Temporal, Evolving, and Enterprise Knowledge

Zep: A strong choice for production, specializing in conversational AI by extracting facts, summarizing, and offering fast retrieval.
Excerpts where Zep appeared in the AI's answer

Zep is a strong competitor for conversational speed and structured data

Zep: A strong competitor designed for production environments requiring high scalability, structured session memory, and temporal knowledge graphs.
Excerpts where Zep appeared in the AI's answer

Zep: Provides robust Python SDKs (zep-python and framework integrations)