Agents IA
adk-js
Google's code-first TypeScript toolkit for building AI agents.
★ 1,4 k étoilesApache-2.0
Voir le guide →adk-python est un projet de agents IA open source, créé par google (google/adk-python sur GitHub). Il compte 21 739 étoiles sur GitHub et 4 116 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 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.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si adk-python ne vous convient pas.
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.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de adk-python — continuez à explorer de part et d'autre.
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.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.