LaVague vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LaVague | ollama | |
|---|---|---|
| Tagline | Large Action Model framework for developing AI Web Agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 6.4k | 176k |
| Forks | 574 | 17k |
| Open issues | 104 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jan 21, 2025 | Jul 7, 2026 |
| Categories | AI Agents, Developer Tools | AI Agents, LLM Frameworks |
LaVague
LaVague is an open-source framework designed to help developers create AI Web Agents that can automate processes by interpreting and executing actions based on a given objective. It comprises a World Model, which decides the appropriate set of instructions needed to achieve the objective, and an Action Engine that compiles these instructions into executable code using libraries like Selenium or Playwright.
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