Voyager vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Voyager | ollama | |
|---|---|---|
| Tagline | LLM-powered embodied lifelong learning agent in Minecraft | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 7.0k | 176k |
| Forks | 686 | 17k |
| Open issues | 8 | 3.4k |
| Language | JavaScript | Go |
| License | MIT | MIT |
| Last pushed | Apr 3, 2024 | Jul 7, 2026 |
| Categories | LLM Frameworks, AI Agents | AI Agents, LLM Frameworks |
Voyager
An open-ended embodied agent that uses large language models, specifically GPT-4, to explore the Minecraft world autonomously, acquire diverse skills, and generate novel discoveries. It includes a curriculum for maximizing exploration, an expandable skill library of executable code, and an iterative prompting mechanism for program improvement.
JavaScript
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