ローカルLLM
Ollama
The simplest way to run open language models on your own machine.
★ 182.1k スターMIT
ガイドを見る →Agentlas-OSは、agentlas-ai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: agentlas-ai/Agentlas-OS）。GitHubスターは1,554、フォークは110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10月2日です。
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.
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 — Agentlas-OS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。
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.
カタログの中でAgentlas-OS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。
Self-evolving general AI agent running fully locally, a Manus-style alternative.
Lightweight inference engine for running LLMs efficiently on any device.
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