langcorn vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| langcorn | ollama | |
|---|---|---|
| Tagline | API server for serving LangChain models and pipelines with FastApi | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 938 | 176k |
| Forks | 69 | 17k |
| Open issues | 21 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Jul 15, 2024 | Jul 7, 2026 |
| Categories | Inference & Serving, Model Training | AI Agents, LLM Frameworks |
langcorn
LangCorn is an automated API server built on FastAPI, designed to facilitate the deployment of LangChain large language model (LLM) applications and agents. It provides features including ready-to-use authentication and support for custom processing pipelines.
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