> ## Content Index
> Fetch the complete content index at: https://blog.getzep.com/llms.txt
> Use this file to discover other available public pages before exploring further.

# Graphiti: Temporal Knowledge Graphs for Agentic Apps
- URL: https://blog.getzep.com/graphiti-knowledge-graphs-for-agents/
- Published: 2024-08-28T13:00:10.000Z
- Updated: 2024-09-13T20:34:57.000Z
- Description: Graphiti builds dynamic, temporally aware knowledge graphs that represent complex, evolving relationships between entities over time.
- Author: Daniel Chalef

We’ve just [open sourced Graphiti](https://git.new/graphiti?ref=blog.getzep.com), a new open-source library for building and querying dynamic, time-aware knowledge graphs.

## What's Graphiti?

In essence, Graphiti is a tool for modeling and analyzing complex, evolving relationships between entities over time. It ingests both unstructured and structured data, creating a graph that can be queried using a combination of temporal, full-text, semantic, and graph algorithm approaches.

## What can you build with it?

Graphiti is designed with agentic applications in mind, particularly those requiring temporal reasoning and dynamic data handling. Some potential use cases include:

1. Assistants that evolve with user interactions, merging personal knowledge with real-time data from various business systems.
2. Agents capable of executing complex tasks autonomously, processing state changes from diverse dynamic sources - think anything from traffic conditions to live voice transcriptions.

## How is Graphiti different to GraphRAG and others?

We built Graphiti specifically for dynamic data and agent-based applications. Here's what sets it apart:

1. **Smart Graph Updates**: It automatically evaluates new entities against the existing graph, updating both to reflect the latest context.
2. **Rich Edge Semantics**: During graph construction, it generates human-readable, semantic, and full-text searchable representations for edges. This enhances both search capabilities and interpretability.
3. **Temporal Awareness**: It extracts and updates time-based edge metadata from input data, enabling reasoning over changing relationships.
4. **Hybrid Search**: Offers semantic, BM25, and graph-based search with result fusion capabilities.
5. **Performance**: Search results typically come in under 100ms, with latency mainly determined by the third-party embedding API call.
6. **Schema Consistency**: Maintains a coherent graph structure by reusing existing schema, preventing unnecessary proliferation of node and edge types.

## Why did we build it?

Graphiti was initially developed to power Zep Memory, our long-term memory layer for building personalized and accurate LLM applications. However, we realized its potential extends beyond just memory applications, hence the decision to open-source it.

## Where can you find it?

- GitHub: [https://git.new/graphiti](https://git.new/graphiti?ref=blog.getzep.com)
- Documentation: [https://help.getzep.com/graphiti](https://help.getzep.com/graphiti?ref=blog.getzep.com)

We're keen to see what the community builds with Graphiti. Whether you have feedback, want to contribute, or just want to share what you've built, we'd love to hear from you!