AIエージェント
adk-java
A code-first Java toolkit for building AI agents.
★ 1.7k スターApache-2.0
ガイドを見る →nodetermは、eneskircaが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: eneskirca/nodeterm）。GitHubスターは1,950、フォークは215で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月4日です。
Manage parallel AI coding agents on an infinite tmux-backed canvas.
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.
Works entirely from the command line.
Runs as a native desktop application.
Plays nicely with Claude Code, Codex, Cursor, and more.
Your code and sessions stay on your own machine.
Coordinate multi-agent workflows from one place.
Audit the code and adapt it to your workflow.
Download the source and move into the project folder.
git clone https://github.com/eneskirca/nodeterm.git
cd nodetermPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at eneskirca/nodeterm with 215 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
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.
A code-first Java toolkit for building AI agents.
Turn a fresh Ubuntu VPS into a multi-agent dev environment.
Full-stack Shorts generator built only with free resources and captions.
Persistent memory layer for AI agents, backed by Markdown and Milvus.
Hook and skill guard that stops coding agents from doing unrequested busywork.
Dev agent multiplexer designed for git worktrees and coding agents.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — nodetermが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でnodetermとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
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