KI-Agenten
SkillSpector
NVIDIA's security scanner for AI agent skills - check before you install
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Anleitung ansehen →Voyager ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von MineDojo (MineDojo/Voyager auf GitHub). Es hat 7.250 Sterne auf GitHub und 706 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 3. April 2024 auf GitHub aktualisiert.
Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.
Set up the full environment first — Minecraft instance, Fabric mods, Node and Python parts — and decide whether to start lifelong learning fresh or resume from a checkpoint/skill library.
Clone MineDojo/Voyager from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Follow the README's four install parts in order: Python install, Node.js install, Minecraft instance install, and Fabric mods install.
Start lifelong learning, watch Voyager propose and attempt its first tasks, and inspect the skills it writes into its library.
An agent that continuously explores, learns new skills and takes on harder tasks without a fixed endpoint.
Learned skills are stored as code in a skill library and reused — you can also load a learned library to run specific tasks.
Voyager proposes its own next tasks based on its progress, rather than following a hand-written task list.
Environment feedback and execution errors feed back into prompting so the agent debugs its own attempts.
Learning can resume from a checkpoint, and a learned skill library can be pointed at a new specific task.
The official codebase for the Voyager paper, with the project site and arXiv paper linked from the repo.
Get the source from the official GitHub repository for Voyager.
git clone https://github.com/MineDojo/Voyager.git
cd VoyagerComplete the Python and Node.js installs from the README, including the package install and TypeScript build steps it lists.
pip install -e .
npm installWith the Minecraft instance and Fabric mods running and your login configured, start Voyager's lifelong learning from the README's getting-started code.
# Configure azure_login (recommended) in the getting-started snippet, then start lifelong learning — see READMEMineDojo, through the MineDojo/Voyager repository, with the project site at voyager.minedojo.org.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
Voyager's reasoning is driven by an LLM, so you need the model access its setup requires (the README recommends Azure login for the Minecraft connection and its GPT-class model setup); the code is free under MIT.
Scripted bots (for example Mineflayer scripts) do exactly what you coded. Voyager writes, tests and stores its own skills under an automatic curriculum — a research system for open-ended learning, with a much heavier setup than a bot script.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — start lifelong learning, watch Voyager propose and attempt its first tasks, and inspect the skills it writes into its library.
NVIDIA's security scanner for AI agent skills - check before you install
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.