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GRAPHITI
Build real-time knowledge graphs for AI agents
Apache-2.0
ABOUT
AI agents lack persistent, evolving context about entities and their relationships — they operate in stateless turns, forgetting past interactions and failing to build a cohesive understanding over time. Graphiti maintains a real-time knowledge graph that dynamically updates as agents interact, integrating temporal awareness, entity deduplication, and semantic search to provide long-running context for agentic workflows.
INSTALL
pip install graphitiINTEGRATION GUIDE
1. Equip customer support agents with a persistent knowledge graph of user preferences, past issues, and account history across sessions.
2. Power research assistants that build and query evolving entity-relationship graphs from documents and conversations over time.
3. Enable agentic workflows that need temporal reasoning — tracking how entity relationships change across days or weeks.
4. Integrate with LLM agents to provide structured, queryable memory that goes beyond simple vector stores or chat history.
5. Build real-time monitoring dashboards that visualize entity networks and relationship changes as agents operate.
TAGS
pythonknowledge-graphragagentstemporalentitiesrelationships