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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
An Open-Ended Embodied Agent with Large Language Models
| Date | Stars |
|---|---|
| 2026-07-31 | 7098 |
| 2026-08-02 | 7098 |
| 2026-08-06 | 7118 |
Today
+20 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Voyager: An Open-Ended Embodied Agent with Large Language Models
<div align="center">
[[Website]](https://voyager.minedojo.org/)
[[Arxiv]](https://arxiv.org/abs/2305.16291)
[[PDF]](https://voyager.minedojo.org/assets/documents/voyager.pdf)
[[Tweet]](https://twitter.com/DrJimFan/status/1662115266933972993?s=20)
[](https://github.com/MineDojo/Voyager)
[](https://github.com/MineDojo/Voyager/blob/main/LICENSE)
______________________________________________________________________
https://github.com/MineDojo/Voyager/assets/25460983/ce29f45b-43a5-4399-8fd8-5dd105fd64f2
</div>
We introduce Voyager, the first LLM-powered embodied lifelong learning agent
in Minecraft that continuously explores the world, acquires diverse skills, and
makes novel discoveries without human intervention. Voyager consists of three
key components: 1) an automatic curriculum that maximizes exploration, 2) an
ever-growing skill library of executable code for storing and retrieving complex
behaviors, and 3) a new iterative prompting mechanism that incorporates environment
feedback, execution errors, and self-verification for program improvement.
Voyager interacts with GPT-4 via blackbox queries, which bypasses the need for
model parameter fine-tuning. The skills developed by Voyager are temporally
extended, interpretable, and compositional, which compounds the agent’s abilities
rapidly and alleviates catastrophic forgetting. Empirically, Voyager shows
strong in-context lifelong learning capability and exhibits exceptional proficiency
in playing Minecraft. It obtains 3.3× more unique items, travels 2.3× longer
distances, and unlocks key tech tree milestones up to 15.3× faster than prior SOTA.
Voyager is able to utilize the learned skill library in a new Minecraft world to
solve novel tasks from scratch, while other techniques struggle to generalize.
In this repo, we provide Voyager code. This codebase is under [MIT License](LICENSE).
# Installation
Voyager requires Python ≥ 3.9 and Node.js ≥ 16.13.0. We have tested on Ubuntu 20.04, Windows 11, and macOS. You need to follow the instructions below to install Voyager.
## Python Install
```
git clone https://github.com/MineDojo/Voyager
cd Voyager
pip install -e .
```
## Node.js Install
In addition to the Python dependencies, you need to install the following Node.js packages:
```
cd voyager/env/mineflayer
npm install -g npx
npm install
cd mineflayer-collectblock
npx tsc
cd ..
npm install
```
## Minecraft Instance Install
Voyager depends on Minecraft game. You need to install Minecraft game and set up a Minecraft instance.
Follow the instructions in [Minecraft Login Tutorial](installation/minecraft_instance_install.md) to set up your Minecraft Instance.
## Fabric Mods Install
You need to install fabric mods to support all the features in Voyager. Remember to use the correct Fabric version of all the mods.
Follow the instructions in [Fabric Mods Install](installation/fabric_mods_install.md) to install the mods.
# Getting Started
Voyager uses OpenAI's GPT-4 as the language model. You need to have an OpenAI API key to use Voyager. You can get one from [here](https://platform.openai.com/account/api-keys).
After the installation process, you can run Voyager by:
```python
from voyager import Voyager
# You can also use mc_port instead of azure_login, but azure_login is highly recommended
azure_login = {
"client_id": "YOUR_CLIENT_ID",
"redirect_url": "https://127.0.0.1/auth-response",
"secret_value": "[OPTIONAL] YOUR_SECRET_VALUE",
"version": "fabric-loader-0.14.18-1.19", # the version Voyager is tested on
}
openai_api_key = "YOUR_API_KEY"
voyager = Voyager(
azure_login=azure_login,
openai_api_key=openai_api_key,
)
# start lifelong learning
voyager.learn()
```
* If you are running with `Azure Login` for the first timExcerpt of 6,728 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6fa3ba8a296ff64d, topic:large-language-models