Agentes de IA
coze-loop
A full-lifecycle platform for developing, debugging, evaluating and monitoring AI agents.
★ 5,8 mil estrelasApache-2.0
Ver o guia →coze-studio é um projeto de agentes de IA de código aberto de coze-dev (coze-dev/coze-studio no GitHub). Tem 21.693 estrelas no GitHub e 3.129 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 29 de julho de 2026.
A visual all-in-one platform for building, debugging, and deploying 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.
Design agents without writing plumbing.
Build, debug, and deploy in one place.
Extend agents with ai-plugins.
Ships patterns for conversational agents.
Modern web-based platform.
Open source and commercially usable.
Download the source and move into the project folder.
git clone https://github.com/coze-dev/coze-studio.git
cd coze-studioPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildIt is an open-source project at coze-dev/coze-studio with 3129 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.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
Coze Studio trades code control for visual speed. If your team prefers notebooks and APIs, pick a framework like AG2 or Strands; if you want point-and-click agent building, start here.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
A full-lifecycle platform for developing, debugging, evaluating and monitoring AI agents.
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