Zep
Official@getzep · United States of America
Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data.
Agent Skills by Zep
Showing 3 vetted skills indexed across 1 GitHub repositories.
memory-policy
Guides agents on when to search Zep memory for user preferences.
zep-eval-harness
Automate end-to-end evaluation of Zep memory retrieval and QA capabilities.
building-with-zep
Guide developers in building Zep apps with Context Graphs for agent memory.
Frequently Asked Questions About Zep
FAQPage SchemaWhat specific tasks does Zep enable for developers?▼
Zep enables the implementation of persistent memory layers, allowing systems to recall historical interactions and business data. It facilitates the construction of context graphs to map entity relationships, ensuring that retrieved information remains relevant and accurate during multi-turn conversational exchanges.
Which technical personas benefit from using Zep?▼
Zep is designed for backend engineers and system architects building stateful conversational interfaces. It is particularly suited for developers tasked with managing complex user context, long-term information retention, and optimizing retrieval performance in information-heavy environments.
What are the prerequisites for implementing Zep memory?▼
Implementation requires an existing conversational interface and a data source for historical interaction logs. Developers must integrate the Zep memory layer to ingest chat history, which then populates the context graph for subsequent retrieval and semantic analysis.