AI工具 Skill技能库 关于道场
Shell AI工具 开源 ai-agents amd comfyui docker llama-cpp llm local-ai n8n nvidia open-webui rag self-hosted speech-to-text strix-halo text-to-speech workflow-automation

Dreamserver:你的进入服务器大语言模型检索增强生成图像生成

GitHub |2026-06-27

Turn 你的 PC, Mac,、Linux box 进入 an AI 服务器. 大语言模型 inference, chat UI, voice, agents, workflows, 检索增强生成,、图像生成.GitHub 2,248 ⭐ / 347 Fork,主要使用 Shell 开发。标签:ai-agents,amd,comfyui,docker,llama-cpp。访问项目:https://github.com/Light-Heart-Labs/DreamServer

项目介绍

Turn 你的 PC, Mac,、Linux box 进入 an AI 服务器. 大语言模型 inference, chat UI, voice, agents, workflows, 检索增强生成,、图像生成.

核心功能

- Local model inference — run open models on your own hardware - ChatGPT-style web UI — talk to your models from any browser - Control dashboard — manage models, services, setup, GPU status, and extensions from one place - Voice, agents, and workflows — build automations that can listen, speak, call tools, and get work done - RAG and search — connect local documents, private search, and retrieval workflows - Image generation — run local image tools without sending prompts to a hosted API

使用指南

AI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone. </div>


Dream Server installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand: - Local model inference — run open models on your own hardware - ChatGPT-style web UI — talk to your models from any browser - Control dashboard — manage models, services, setup, GPU status, and extensions from one place - Voice, agents, and workflows — build automations that can listen, speak, call tools, and get work done - RAG and search — connect local documents, private search, and retrieval workflows - Image generation — run local image tools without sending prompts to a hosted API - Privacy and ops — keep service auth, secrets, observability, and diagnostics in one local stack No cloud required. No subscriptions required. Your prompts and data stay on your machine unless you choose otherwise. Cloud and hybrid API modes are optional when you want them. Release validation: Operational changes are checked with a release-grade fleet and distro lab: zero-prereq bootstrap, fresh installs, product flows, full-model capabilities, lifecycle recovery, and the final User Green gate. See run proves. Repo layout: the repository root holds the public README, installers, security policy, GitHub workflows, and project coordination docs. The `dream-server/` directory is the product runtime: services, installer phases,

项目信息

项目信息
项目名称Light-Heart-Labs/DreamServer
Star 数2,248
Fork 数347
编程语言Shell
开源协议Apache-2.0
创建时间2026-02-09
最近更新2026-06-25
主题标签ai-agents、amd、comfyui、docker、llama-cpp

项目地址

GitHub 仓库:<https://github.com/Light-Heart-Labs/DreamServer>

> 完整 URL:[https://github.com/Light-Heart-Labs/DreamServer](https://github.com/Light-Heart-Labs/DreamServer)

如需查看完整源码、安装命令、使用示例、API 文档,请直接访问上方项目地址。所有信息均以 GitHub 仓库为准。