ローカルLLM
agent-sessions
Browse and resume your AI coding-agent sessions on macOS.
★ 889 スターMIT
ガイドを見る →helmorは、dohoooが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: dohooo/helmor）。GitHubスターは1,306、フォークは120で、Apache-2.0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8月22日です。
A local workbench for multi-agent software development.
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.
Runs on your own machine; your data never leaves it.
Coordinates several AI agents at once.
Designed to be practical on consumer hardware.
Auditable from model call to UI.
No cloud API, no per-token bills, no data leaving.
Works with Ollama, llama.cpp, and more.
Download the source and move into the project folder.
git clone https://github.com/dohooo/helmor.git
cd helmorPull 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 dohooo/helmor with 120 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.
A modern laptop works for smaller models; bigger models want more RAM or a GPU.
Usually anything Ollama or llama.cpp can run — check the README for tested models.
Yes — local inference means prompts never leave your machine.
Browse and resume your AI coding-agent sessions on macOS.
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Sandbox for local AI agents so they only touch what they need.
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Local-first agent harness with loop, memory, and evals in readable code.
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — helmor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helmorとスター数が近いローカルLLM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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