Zep AI
Features of Zep AI
Use Cases of Zep AI
FAQ about Zep AI
QWhat is Zep AI?
Zep AI is a context-engineering and long-term memory platform for AI agents. It uses temporal knowledge graphs to eliminate memory loss and manage context in large language models.
QWhat are Zep AI’s main features?
Key features include temporal-knowledge-graph memory, automatic context assembly, Graph RAG retrieval, open-source framework integration, vector search, and document-collection management.
QWho should use Zep AI?
Developers who need long-term memory, deep context understanding, or personalization for AI agents—especially in support, education, knowledge-management, and complex-task scenarios.
QIs there an open-source version?
Yes. Zep offers open-source components like Graphiti for self-hosting, plus a managed cloud service (Zep Cloud) with extra enterprise features.
QHow do I integrate Zep AI into an existing project?
Zep provides SDKs for Python, TypeScript, and more, and integrates seamlessly with LangChain, LlamaIndex, and other popular frameworks—usually just a few lines of code.
QHow does Zep AI handle data privacy and security?
The platform supports on-prem deployment; the cloud version includes enterprise-grade controls. Refer to the official docs and privacy policy for detailed practices.
QWhat is the technical cost of using Zep AI?
The open-source edition is free to self-host. Cloud pricing is usage-based; check the official site for the latest rates.
QHow fast is Zep AI?
Designed for millisecond-level retrieval and async processing. Actual latency depends on deployment size and data volume.
QHow is Zep AI different from a regular vector database?
Beyond vector search, Zep AI’s temporal knowledge graph delivers structured, evolving memory, enabling entity-relationship reasoning and full historical state replay—something plain vector DBs can’t do.
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