ollama vs autoflow
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | autoflow | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. |
| Stars | 176k | 2.8k |
| Forks | 17k | 178 |
| Open issues | 3.4k | 75 |
| Language | Go | TypeScript |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Apr 27, 2026 |
| Categories | AI Agents, LLM Frameworks | Developer Tools, AI Agents, Evaluation & Observability |
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
autoflow
AutoFlow is an open-source graph-based retrieval and generation (RAG) system designed to enhance conversational search experiences in web contexts. It leverages advancements from TiDB, LlamaIndex, and DSPy frameworks for data processing, chatbot interactions, and knowledge retrieval capabilities.
TypeScript