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 →Orkasは、Orkas-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: Orkas-AI/Orkas）。GitHubスターは2,151、フォークは88で、MIT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3日です。
Local-first desktop where a commander LLM directs specialist coding agents.
Get the desktop app for your OS.
Bring your own API keys for models.
Link your installed coding CLIs.
The commander LLM directs specialist agents.
One LLM orchestrates specialist sub-agents.
Runs Claude Code, Codex, OpenCode, and more.
Agents improve via reflection.
Repeated successes become reusable skills.
No bundled model markup.
macOS, Windows, and Linux.
Download the source and move into the project folder.
git clone https://github.com/Orkas-AI/Orkas.git
cd OrkasEvery 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 commandYes, it is bring-your-own-keys for the models you use.
MIT licensed — commercial use allowed.
Claude Code, Codex, OpenCode, OpenClaw, and Hermes are named.
Repeated successful patterns get saved as reusable skills.
It is local-first, but model calls go wherever your keys point.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI…
Powerful AI Client
Pixel-art desktop where your local-first AI agents visibly do real work.
Autonomous AI pentesting with 50 specialist agents on a local LLM.
Local-first desktop workspace designed for running.
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 — Orkas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Orkas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。
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
Sandbox for local AI agents so they only touch what they need.
Let any LLM actually watch a video — frames plus transcript, run locally.
Local API bridge to run Claude and Antigravity inside other coding clients.
Run controllable pre-trained AI models locally, written in Rust.
StepFun's open 196B MoE model that activates 11B parameters per token, built for fast agentic reasoning.