aidevops
Token-efficient AI agent automation for apps, business, and personal projects.
ServBayは、ServBay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: ServBay/ServBay)。GitHubスターは455、フォークは22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10月3日です。
An AI-native local dev tool giving agents a real environment.
Get it from the official site.
Spin up databases and servers.
Agents get a real environment.
Code, run, and test in one place.
Actual services, not mocks.
Databases, servers, runtimes.
Built for agent workflows.
Everything on your machine.
Start and stop services simply.
Agents execute for real.
Download the source and enter the folder.
git clone https://github.com/ServBay/ServBay.git
cd ServBayCheck the README for platform support.
cat README.md | head -60Follow the official installer steps.
# see the official site for the installerAn AI-native local development environment tool, at ServBay/ServBay.
Databases, web servers, and runtimes like MySQL, Nginx, PHP, Node.
So they can run real code against real services.
The code is on GitHub under a custom license; check the terms.
See the official site for supported OS builds.
Token-efficient AI agent automation for apps, business, and personal projects.
Fully automated homelab from empty disk to running services with a single command.
C# generative AI SDK — text, image, video and audio via ONNX
AI-native video editing on real timelines with local agents.
Pixel-art desktop where your local-first AI agents visibly do real work.
Open source, Git-native memory for AI coding agents - deterministic local recall
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 — ServBay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ServBay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。
18 Google Maps tools and 3 agent skills over MCP or CLI.
A no-install GUI for Ollama and other local LLM providers.
Cut AI context cost with reversible, byte-exact compression.
A cautious, explainable AI-like text risk analysis tool for local workflows and coding
A local-first context and memory layer for your AI agents.
Local-first personal knowledge layer for AI agents.