ИИ-агенты
coze-loop
A full-lifecycle platform for developing, debugging, evaluating and monitoring AI agents.
★ 5,8 тыс. звёздApache-2.0
Смотреть руководство →coze-studio — проект с открытым исходным кодом из категории «ИИ-агенты» от coze-dev (coze-dev/coze-studio на GitHub). У него 21 693 звезды на GitHub и 3 129 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 29 июля 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.
All your agents and workspaces in one place — on every device you own.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
Rivet is Ironclad's visual IDE and TypeScript library for building complex AI agents and prompt chains
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если coze-studio вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к coze-studio — продолжайте изучать полку по обе стороны от него.
Google's code-first toolkit for building real AI agents.
A self-improving agent for coding workflows and long-running autonomous tasks
Swarm — OpenAI's experimental framework for lightweight multi-agent orchestration with agents and handoffs, MIT
The veteran open-source framework for conversational AI that you host.
Stanford's Generative Agents simulation - 25 AI characters living in a virtual town
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.