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.
Key features include temporal-knowledge-graph memory, automatic context assembly, Graph RAG retrieval, open-source framework integration, vector search, and document-collection management.
Developers who need long-term memory, deep context understanding, or personalization for AI agents—especially in support, education, knowledge-management, and complex-task scenarios.
Yes. Zep offers open-source components like Graphiti for self-hosting, plus a managed cloud service (Zep Cloud) with extra enterprise features.
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.
The platform supports on-prem deployment; the cloud version includes enterprise-grade controls. Refer to the official docs and privacy policy for detailed practices.
The open-source edition is free to self-host. Cloud pricing is usage-based; check the official site for the latest rates.
Designed for millisecond-level retrieval and async processing. Actual latency depends on deployment size and data volume.
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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Mem0 AI is an open-source long-term memory layer framework designed for large language models and AI applications. It aims to address AI's forgetting problem by providing persistent, structured external memory capabilities, enabling more personalized and coherent cross-session interactions.
