ローカルLLM
Open Webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
★ 153.9k スターCustom (check repo)
ガイドを見る →lemonaiは、hexdocom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: hexdocom/lemonai）。GitHubスターは1,571、フォークは321で、Custom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2月3日です。
Self-evolving general AI agent running fully locally, a Manus-style alternative.
Get the desktop app.
Configure for fully local operation.
Hand off computer work to the agent.
It refines its own abilities over time.
Handles varied computer tasks.
Alternative to cloud agent platforms.
Designed to improve its own skills.
Covers the whole agent pipeline.
Runs as a native application.
Local take on the general-agent idea.
Download the source and move into the project folder.
git clone https://github.com/hexdocom/lemonai.git
cd lemonaiEvery 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 commandThe project aims for the agent to improve its own capabilities; check the docs for how.
Custom license — read the repo's license file first.
It runs fully locally instead of as a cloud platform.
Local general agents are demanding; check the documented requirements.
The last push shown is early 2026; check recent commits.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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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 — lemonai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
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カタログの中でlemonai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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Agent hub that spins up a fresh orchestrator per task, local-first.
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Lightweight inference engine for running LLMs efficiently on any device.
AI file organizer that sorts and renames files by understanding content.
Run local LLMs like Llama and DeepSeek right inside your web browser.