adk-js
Google's code-first TypeScript toolkit for building AI agents.
adk-python — проект с открытым исходным кодом из категории «ИИ-агенты» от google (google/adk-python на GitHub). У него 21 739 звёзд на GitHub и 4 116 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 октября 2026.
Google's code-first toolkit for building real 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.
Agents defined in Python code, not config files.
One toolkit covering the full agent lifecycle.
Maintained by Google with extensive docs.
Fine-grained control over agent behavior.
Fits the standard Python AI stack.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/google/adk-python.git
cd adk-pythonInstall the toolkit from PyPI.
pip install google-adkFollow the docs quickstart to define, evaluate, and run an agent.
# see https://google.github.io/adk-docs/ for the quickstartIt is maintained by Google at google/adk-python, with 4,116 forks. The docs site is actively updated.
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 toolkit is free; you pay for the models you call, Google or otherwise.
Compare with LangChain, CrewAI, and similar on control, evaluation tooling, and deployment story.
The docs site has a quickstart: install the package and follow it to build your first agent.
Google's code-first TypeScript toolkit for building AI agents.
A code-first Java toolkit for building AI agents.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Python library for building multimodal language agents — VLM, video and mobile, fast to prototype and ship
SWE-Gym: the first training environment for real-world software engineering agents and verifiers (ICML 2025).
Secure sandboxes where AI agents run real code.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если adk-python вам не подходит.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к adk-python — продолжайте изучать полку по обе стороны от него.
Swarm — OpenAI's experimental framework for lightweight multi-agent orchestration with agents and handoffs, MIT
A visual all-in-one platform for building, debugging, and deploying AI agents.
Stanford's Generative Agents simulation - 25 AI characters living in a virtual town
A self-improving agent for coding workflows and long-running autonomous tasks
Yohei Nakajima's autonomous task agent - now a self-building agent framework in Python
The veteran open-source framework for conversational AI that you host.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.