# MineDojo/Voyager

An Open-Ended Embodied Agent with Large Language Models

Repository: https://github.com/MineDojo/Voyager
Canonical: https://ross.abutalabs.com/products/minedojo-voyager
Homepage: https://voyager.minedojo.org/
Language: JavaScript
License: MIT
License Family: permissive
Topics: large-language-models, embodied-learning, open-ended-learning, minecraft
Last push: 2024-04-03T18:51:36+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 85
- inputs: {"age_days": 1196, "days_push": 882, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7160, forks 700 (observed 2026-08-28T04:09:56.293444+00:00)

## What it is
Voyager is an open-source LLM-powered embodied agent that plays Minecraft through GPT-4, using an automatic curriculum, an ever-growing skill library of executable code, and iterative prompting with environment feedback. It is the reference implementation of the Voyager research paper on open-ended embodied lifelong learning agents.

## Use cases
- run an LLM agent that autonomously explores Minecraft
- research lifelong learning for embodied AI agents
- build agents that write and store executable skills as code
- reproduce the Voyager paper experiments
- benchmark LLM agents on open-ended exploration tasks
- study iterative prompting with environment feedback and self-verification

## When to choose
- you want an open-ended LLM-driven agent in Minecraft
- you are researching embodied lifelong learning or skill libraries
- you want a code-generation-based agent without model fine-tuning

## When to avoid
- you need a production agent for real-world robotics or non-Minecraft environments
- you cannot provide GPT-4 API access or a Minecraft instance
- you need a lightweight agent without heavy game and Node.js dependencies

## Facets
- artifact type: library
- maturity: active
- function: agent-framework, llm-inference, machine-learning, game
- domain: artificial-intelligence, large-language-models, reinforcement-learning, gaming-tools
- platform: python, windows
- tags: embodied-agents, lifelong-learning, minecraft, gpt-4, skill-library, open-ended-learning, research-code, ai-agents, research, nodejs, linux, macos

## Member repositories
- MineDojo/Voyager (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:56.293444+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:39:58.550579+00:00, confidence not recorded.
  - readme: https://github.com/MineDojo/Voyager (fetched 2026-08-28T04:09:56.293444+00:00, sha b97761cbb39c)
  - homepage: https://voyager.minedojo.org/ (fetched 2026-08-29T08:35:31.900999+00:00, sha d67fa7a26804)
- Data as of 2026-08-30T08:39:29.467469+00:00.