| Knowledge Graph | Zep’s unified knowledge store for agents. Nodes represent entities, edges represent facts/relationships. The graph updates dynamically in response to new data. | Docs |
| Zep’s Context Block | Optimized string containing a user summary and facts from the knowledge graph most relevant to the current thread. Also contains dates when facts became valid and invalid. Provide this to your chatbot as context. | Docs |
| Context Types | The distinct primitives Zep produces from a user graph: facts, entities, episodes, thread summaries, observations, and user summary. Choose the type that fits the agent’s task. | Docs |
| Fact Invalidation | When new data invalidates a prior fact, the time the fact became invalid is stored on that fact’s edge in the knowledge graph. | Docs |
| JSON/text/message | Types of data that can be ingested into the knowledge graph. Can represent business data, documents, chat messages, emails, etc. | Docs |
| Custom Entity/Edge Types | Feature allowing use of Pydantic-like classes to customize creation/retrieval of entities and relations in the knowledge graph. | Docs |
| Graph | Represents an arbitrary knowledge graph for storing up-to-date knowledge about an object or system. For storing up-to-date knowledge about a user, a user graph should be used. | Docs |
| User Graph | Special type of graph for storing personalized context for a user of your application. | Docs |
| User | A user in Zep represents a user of your application, and has its own User Graph and thread history. | Docs |
| Threads | Conversation threads of a user. By default, all messages added to any thread of that user are ingested into that user’s graph. | Docs |
graph.add & thread.add_messages | Methods for adding data to a graph and user graph respectively. | Docs Docs |
graph.search & thread.get_user_context | Low level and high level methods respectively for retrieving from the knowledge graph. | Docs Docs |
| User Summary Instructions | Customize how Zep generates entity summaries for users in their knowledge graph. Up to 5 custom instructions per user to guide summary generation. | Docs |
| Agentic Tool | Use Zep’s context retrieval methods as agentic tools, enabling your agent to query for relevant information from the user’s knowledge graph. | Docs |
