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getzep/graphiti

Build Real-Time Knowledge Graphs for AI Agents

Python ◇ agents Apache-2.0
★31.2KSTARS
⑂3.2KFORKS
!520ISSUES
🏆#315GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for getzep/graphiti
CSV

Momentum

+779

STARS · LAST 30 DAYS

26

PER DAY

#69

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+182+779+2.3K
Per day262626
Forks gained+16+64+159

graphiti gained 779 stars in the last 30 days, about 26 a day, and now has 31.2K. It is about 2 years old and has averaged roughly 15.6K stars a year. It ranks #69 among Python repositories and #315 across all languages on GitHubRepo.

Trending Record

graphiti has maintained a continuous presence across global trending indexes, peaking at #184. Below is the 30-day activity profile:

💡 Overview

graphiti is an open-source project written in Python: Build Real-Time Knowledge Graphs for AI Agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, graph, llms. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install graphiti

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

graphiti coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with graphiti.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install graphiti using your package manager: `pip install graphiti`

2

Initialize your project workspace or configuration file for graphiti.

3

Import graphiti into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `graphiti --help` to verify successful setup.

👍 Strengths

Active community backing with 31,144 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

getzep/graphiti is currently ranked #315 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#310 filamentphp/filament PHP ★ 32.1K Compare ↗
#311 atuinsh/atuin Rust ★ 31.8K Compare ↗
#312 iced-rs/iced Rust ★ 31.6K Compare ↗
#313 projectdiscovery/nuclei Go ★ 31.6K Compare ↗
#314 iOfficeAI/OfficeCLI C# ★ 31.3K Compare ↗
#315 getzep/graphiti This Project Python ★ 31.2K
#316 symfony/symfony PHP ★ 31.2K Compare ↗
#317 vercel/turborepo Rust ★ 31.1K Compare ↗
#318 garrytan/gbrain TypeScript ★ 30.4K Compare ↗
#319 sequelize/sequelize TypeScript ★ 30.4K Compare ↗
#320 ComposioHQ/composio TypeScript ★ 30.3K Compare ↗

Frequently Asked Questions

What does graphiti do? +

Build Real-Time Knowledge Graphs for AI Agents

What language is graphiti written in? +

The primary language is Python. Topics include: agents, graph, llms, rag.

Is graphiti actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 520 open issues being tracked.

How many stars does graphiti have? +

graphiti has 31,174 stars and 3,185 forks on GitHub.

How does graphiti rank among GitHub repositories? +

With 31,174 stars, getzep/graphiti is ranked #315 globally across all repositories tracked on GitHubRepo and #69 among Python projects.

What license is graphiti distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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