Локальные LLM
agent-sessions
Browse and resume your AI coding-agent sessions on macOS.
★ 889 звёздMIT
Смотреть руководство →helmor — проект с открытым исходным кодом из категории «Локальные LLM» от dohooo (dohooo/helmor на GitHub). У него 1 306 звёзд на GitHub и 120 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 22 августа 2026.
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.
ChatGPT for your home, running on a Raspberry Pi.
Read-later + AI knowledge base for the Chinese internet
Sandbox for local AI agents so they only touch what they need.
One shared local memory hub so every AI agent remembers the same you.
Local-first agent harness with loop, memory, and evals in readable code.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если helmor вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
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Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к helmor — продолжайте изучать полку по обе стороны от него.
Offline inference engine for art.
Cloud-native runtime for building and running agentic AI in production.
Turn your AI coding chats into reusable skills with IDE extensions.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Clean web interface for chatting with your local Ollama models.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.