graphiti vs transformers
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| graphiti | transformers | |
|---|---|---|
| Tagline | Build Real-Time Knowledge Graphs for AI Agents | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models |
| Stars | 28k | 162k |
| Forks | 2.9k | 34k |
| Open issues | 413 | 2.5k |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 6, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Data & Retrieval | Model Training, Data & Retrieval, LLM Frameworks |
graphiti
Graphiti is a framework for constructing temporal context graphs specifically designed for AI agents. It allows for the creation of knowledge graphs that maintain historical data and provenance, supporting both incremental updates and complex querying capabilities.
Python
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python