AI Agents
evals
A complete evaluation toolkit for AI agents.
★ 230 starsApache-2.0
View guide →A toolkit for developing AI-powered apps, from the Weights & Biases team.
weave is an open-source ai agents project by wandb (wandb/weave on GitHub). It has 1,137 GitHub stars and 171 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
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.
See every model call your app makes.
W&B-style iteration on prompts.
Built for the build loop, not just prod.
From the experiment-tracking experts.
Fits data-science workflows.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/wandb/weave.git
cd weaveCreate 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 wandb/weave with 171 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.
Self-hosting is free and open source; the hosted cloud version may have a paid tier.
Weave is a developer toolkit for tracing and iterating; Helicone is an observability platform for production monitoring. Many teams use Weave while building and Helicone (or similar) in production.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
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Free and open — grab the source, star the repo, and start creating.