ИИ-агенты
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Manage parallel AI coding agents on an infinite tmux-backed canvas.
★ 1,9 тыс. звёздNOASSERTION
Смотреть руководство →adk-java — проект с открытым исходным кодом из категории «ИИ-агенты» от google (google/adk-java на GitHub). У него 1 744 звезды на GitHub и 431 форк, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 4 октября 2026.
A code-first Java toolkit for building 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.
Coordinates several AI agents at once.
Audit the code and adapt it to your workflow.
Runs on macOS and Linux out of the box.
Run several coding agents side by side, not one at a time.
Pause, resume, and inspect agent sessions on demand.
Plays nicely with Claude Code, Codex, Cursor, and more.
Download the source and move into the project folder.
git clone https://github.com/google/adk-java.git
cd adk-javaCompile and package with Maven.
mvn -q package -DskipTestsLaunch the packaged jar.
java -jar target/app.jarIt is an open-source project at google/adk-java with 431 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is Apache-2.0 licensed, so commercial use is allowed with attribution and license notices.
Most of these tools work with local models or your own keys; check the README for the default provider.
Yes — parallel sessions are the whole point, each isolated in its own workspace.
Only if you configure a cloud model; local-first setups keep everything on your machine.
Manage parallel AI coding agents on an infinite tmux-backed canvas.
Turn a fresh Ubuntu VPS into a multi-agent dev environment.
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
Google's code-first toolkit for building real AI agents.
Google's code-first TypeScript toolkit for building AI agents.
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если adk-java 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 adk-java — продолжайте изучать полку по обе стороны от него.
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
A markdown knowledge graph with LSP for editors and MCP for agents.
Lean coding agent written in Rust, optimized for memory footprint and performance.
Team memory for engineers and their AI agents.
A coding agent that runs on your model, your machine, your rules.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.