Локальные LLM
Ollama
The simplest way to run open language models on your own machine.
★ 182,1 тыс. звёздMIT
Смотреть руководство →Agentlas-OS — проект с открытым исходным кодом из категории «Локальные LLM» от agentlas-ai (agentlas-ai/Agentlas-OS на GitHub). У него 1 554 звезды на GitHub и 110 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 2 октября 2026.
Agent hub that spins up a fresh orchestrator per task, local-first.
Set up the agent hub locally.
Add your specialist agents to the hub.
A temporary orchestrator spins up.
The orchestrator coordinates agents to finish.
One home for specialist agents.
Fresh coordination for every job.
Runs on your own machine.
Not tied to a single provider.
Divide work by expertise.
Permissive commercial license.
Download the source and move into the project folder.
git clone https://github.com/agentlas-ai/Agentlas-OS.git
cd Agentlas-OSEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandA hub that manages specialist agents and per-task orchestration.
Apache 2.0 licensed — commercial use allowed with attribution.
It aims to work with any model; check the docs for setup.
No, they are temporary per task by design.
The site mentions cloud; the OS itself is local-first.
The simplest way to run open language models on your own machine.
A high-throughput and memory-efficient inference and serving engine for LLMs
Run frontier AI locally.
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.
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Agentlas-OS 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
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к Agentlas-OS — продолжайте изучать полку по обе стороны от него.
Self-evolving general AI agent running fully locally, a Manus-style alternative.
Lightweight inference engine for running LLMs efficiently on any device.
Whisper-powered subtitle generation: Web UI, CLI, and package.
Run local LLMs like Llama and DeepSeek right inside your web browser.
AI OSINT agent with 20 tools and REPL — for authorized research only.
Turn your AI coding chats into reusable skills with IDE extensions.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.