KI-Agenten
SimWorld
SimWorld: an Unreal Engine 5 simulator for evaluating LLM/VLM agents in physical and social worlds.
★ 793 SterneApache-2.0
Anleitung ansehen →harbor ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von harbor-framework (harbor-framework/harbor auf GitHub). Es hat 5.906 Sterne auf GitHub und 1.948 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A framework for evaluating and improving AI agents.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Structured evaluation harnesses.
Interactive worlds for agents.
Ties to terminal-based benchmarks.
Evaluate, then iterate.
Fits research and eng workflows.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/harbor-framework/harbor.git
cd harborCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyIt is an open-source project at harbor-framework/harbor with 1948 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
Running the evaluation is free; the model under test may use your own paid API keys.
Harbor is a full eval-and-improve framework; ClawBench is a specific browser-agent benchmark; autoevals is a lightweight scoring library. Use Harbor for the eval program, the others for specific measurements.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
SimWorld: an Unreal Engine 5 simulator for evaluating LLM/VLM agents in physical and social worlds.
Modular Python framework for AI agents and workflows with tools and memory.
Apache framework for apps that make decisions: agents, chatbots, simulations.
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Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls harbor nicht das Richtige ist.
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Verwandte Projekte der Kategorie KI-Agenten im Katalog, die harbor bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
The benchmark that grades AI on real GitHub issues.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.