graphiti vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| graphiti | ollama | |
|---|---|---|
| Tagline | Build Real-Time Knowledge Graphs for AI Agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 28k | 176k |
| Forks | 2.9k | 17k |
| Open issues | 413 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 6, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Data & Retrieval | AI Agents, 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
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go