Zep

Zep

By Zep

Long-term memory layer for agents, building a temporal knowledge graph from conversations

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Overview

Zep is a memory layer for AI agents: it ingests conversations and builds a temporal knowledge graph, so the agent recalls relevant facts — and how they change over time — instead of replaying raw history.
It runs as managed Zep Cloud or self-hosted, and exposes a simple add/get memory API.

flowchart LR
  msgs[conversation] --> z[(Zep)]
  z --> graph[temporal knowledge graph]
  q[next turn] --> z
  z --> ctx[relevant context]

The Code samples tab shows the add-and-recall flow.

When to use it

Choose Zep when long-term, evolving memory matters — personal assistants and support agents that must remember user facts across sessions and keep them current, beyond a single context window.