AIエージェント
bisheng
Enterprise LLM app platform: GenAI workflows, RAG, agents, model management, evaluation, fine-tuning.
★ 12.0k スターApache-2.0
ガイドを見る →evalsは、strands-agentsが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: strands-agents/evals）。GitHubスターは230、フォークは71で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月7日です。
A complete evaluation toolkit for AI agents.
Write down the job you will use the project for before touching any code.
Download the source and read the README's setup section first.
Run the install steps and add any required API keys or config.
Follow the example in the docs to confirm everything works.
Measure agent quality systematically.
Covers multiple evaluation dimensions.
Works for agents and LLM apps alike.
From the Strands Agents team.
Fits Python agent workflows.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/strands-agents/evals.git
cd evalsSet up a virtual environment and install dependencies.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtExecute a first eval per the README.
# see README for the eval runnersIt is maintained by the Strands Agents team at strands-agents/evals, with 71 forks.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
The framework is free; evaluations consume model calls through your own keys.
Compare on metrics, workflow, and how tightly each fits your agent stack.
Follow the README to run a first evaluation against your agent.
Enterprise LLM app platform: GenAI workflows, RAG, agents, model management, evaluation, fine-tuning.
Build voice-based LLM agents with a modular, open-source toolkit.
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LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — evalsが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でevalsとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
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