agent-lightning vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| agent-lightning | ollama | |
|---|---|---|
| Tagline | The absolute trainer to light up AI agents. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 17k | 176k |
| Forks | 1.5k | 17k |
| Open issues | 156 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Apr 29, 2026 | Jul 7, 2026 |
| Categories | Model Training, AI Agents | AI Agents, LLM Frameworks |
agent-lightning
Agent Lightning is a Python tool designed for training and optimizing AI agents with minimal code changes. It supports various agent frameworks and includes features like reinforcement learning, automatic prompt optimization, and supervised fine-tuning. Users can selectively optimize one or more agents in a multi-agent system.
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