# Graphiti — Real-Time Knowledge Graphs for AI Agents

> Build real-time knowledge graphs for AI agents by Zep. Temporal awareness, entity extraction, community detection, and hybrid search. Production-ready. 24K+ stars.

## Install

Save as a script file and run:

## Quick Use

```bash
pip install graphiti-core
```

```python
from graphiti_core import Graphiti

graphiti = Graphiti("bolt://localhost:7687", "neo4j", "password")
await graphiti.build_indices()

# Add episodes (facts)
await graphiti.add_episode(
    name="meeting",
    episode_body="Alice told Bob the project deadline is March 15th.",
    source_description="meeting notes",
)

# Search the knowledge graph
results = await graphiti.search("When is the project deadline?")
```

---

## Intro

Graphiti is a framework by Zep for building real-time, temporal knowledge graphs that AI agents can query. Unlike static RAG, Graphiti continuously updates its graph as new information arrives — tracking entity relationships, temporal changes, and community structures. Supports hybrid search (semantic + graph traversal) for complex reasoning queries. 24,000+ GitHub stars.

**Best for**: AI agents that need persistent, evolving memory with relationship awareness
**Works with**: OpenAI, Anthropic, any LLM via LiteLLM, Neo4j graph database

---

## Key Features

### Temporal Awareness
Every fact is timestamped. The graph knows *when* things happened and can answer time-based queries:
- "What was the deadline before it changed?"
- "Who joined the team last month?"

### Entity & Relationship Extraction
Automatically extracts entities (people, orgs, projects) and their relationships from unstructured text.

### Community Detection
Groups related entities into communities for summarization and navigation.

### Hybrid Search
Combines semantic similarity, graph traversal, and BM25 text search for precise retrieval.

### Production-Ready
- Incremental updates (no full rebuilds)
- Concurrent episode processing
- Built on Neo4j for scalability

---

### FAQ

**Q: What is Graphiti?**
A: A framework for building real-time knowledge graphs for AI agents. Extracts entities and relationships from text, tracks temporal changes, and supports hybrid search. By Zep, 24K+ stars.

**Q: How is Graphiti different from standard RAG?**
A: RAG retrieves text chunks by similarity. Graphiti builds a structured knowledge graph with entities, relationships, and temporal awareness — enabling multi-hop reasoning and change tracking.

---

## Source & Thanks

> Created by [Zep](https://github.com/getzep). Licensed under Apache 2.0.
> [getzep/graphiti](https://github.com/getzep/graphiti) — 24,000+ GitHub stars

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Source: https://tokrepo.com/en/workflows/34ea44af-b30f-4129-b6fd-a2cb4366ab4b
Author: TokRepo Curated