本地AI工作流
AI Skill Hub 强烈推荐：本地AI工作流 是一款优质的Agent工作流。AI 综合评分 8.0 分，在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案，这是一个值得深入了解的选择。
📚 深度解析
本地AI工作流 工作流的设计遵循"最小配置，最大复用"原则：核心逻辑已经封装好，用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制，在网络波动或 API 限速等情况下仍能稳定运行，适合作为生产环境的自动化基础设施。
在实际部署时，建议先在测试环境中运行 3-5 次，验证各个环节的输出结果符合预期，再部署到生产环境。AI Skill Hub 评分 8.0 分，是同类 Agent 工作流中的精选推荐。
📋 工具概览
本地AI工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排，将复杂的多步骤任务拆解为清晰的自动化流程，实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成，适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
📖 中文文档
本地AI工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排，将复杂的多步骤任务拆解为清晰的自动化流程，实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成，适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
- 可视化 Agent 工作流编排，无需编写复杂代码
- 支持多步骤自动化任务链，实现全流程无人值守
- 与外部 API、数据库和第三方服务无缝集成
- 内置错误处理与自动重试机制，保障稳定运行
- 提供可复用的自动化模板，快速在同类场景部署
- 自动化日常重复性工作，将精力集中于创造性任务
- 构建数据采集 → 处理 → 输出的完整自动化管线
- 实现跨平台、跨系统的数据流转和业务协同
# 方式一：npm 全局安装 npm install -g locally-uncensored # 方式二：npx 直接运行（无需安装） npx locally-uncensored --help # 方式三：项目依赖安装 npm install locally-uncensored # 方式四：从源码运行 git clone https://github.com/PurpleDoubleD/locally-uncensored cd locally-uncensored npm install npm start
- 访问 GitHub 仓库获取工作流文件
- 在对应平台（Dify / Flowise / Make 等）中找到「导入工作流」功能
- 上传工作流文件
- 按照提示配置必要的环境变量和 API Key
- 运行测试确认流程正常后投入使用
# 命令行使用
locally-uncensored --help
# 基本用法
locally-uncensored [options] <input>
# Node.js 代码中使用
const locally_uncensored = require('locally-uncensored');
const result = await locally_uncensored.run(options);
console.log(result);
# locally-uncensored 配置说明 # 查看配置选项 locally-uncensored --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量（覆盖配置文件） export LOCALLY_UNCENSORED_CONFIG="/path/to/config.yml"
简介
<img src="logos/LU-monogram-bw.png" alt="Locally Uncensored" width="80">
Optional: LU Labs Cloud
Some models are larger than any desktop card. Flip the Cloud switch in the same app and those run on hosted GPUs instead, with the heavy Create lanes alongside them. The same account works in the browser at lu-labs.ai, on a plan or on credit packs that do not expire. The local app stays free either way, and switching back to local costs nothing: plans and prices. With Create in chat (Beta), a cloud chat model can put together an order for images, video, music or voice, and nothing runs until you approve it.
Since 3.0.0 the catalogue says what it can back up. Every cloud chat model was asked the same two questions twice and judged on the answer, and a longer three-round test on 2026-10-05 took the mark from five more: 19 of the 46 we measured answer in full, and only those carry the No Filter mark in the picker. Across all measured answers, 5% were refusals. Ten more chat models that their makers release to answer without refusing are listed as a group of their own, marked Uncensored (Beta). They were not part of the measurement above. On an active plan, 11 models on Hosted and 12 on Pro and Max cost no credits in chat, up to a daily limit. For images and video, 14 video and 7 image models run without a built-in content restriction, most of them with Uncensored in the name, and your account decides what they may produce.
How it compares
| Locally Uncensored | Open WebUI | LM Studio | Jan | SillyTavern | |
|---|---|---|---|---|---|
| Chat | **Yes** | Yes | Yes | Yes | Yes |
| Image generation | **Yes** | No | No | No | Partial |
| Video generation | **Yes** | No | No | No | No |
| Image to image and image to video | **Yes** | No | No | No | No |
| Coding agent | **Yes** | No | No | No | No |
| Agent with tools and MCP | **Yes** | No | No | No | No |
| Works out of the box | **Yes** | No | Yes | Yes | No |
| Remote access from your phone | **Yes** | Partial | No | No | Partial |
| Compare and benchmark | **Yes** | No | No | No | No |
| Answers directly, without refusals | **Yes** | No | No | No | Partial |
| Voice in and out | **Yes** | Partial | No | No | Partial |
| Document chat | **Yes** | Yes | No | No | No |
| Runs without Docker | **Yes** | No | Yes | Yes | Yes |
| Open source | **Yes** | Yes | No | Yes | Yes |
Deep dives: vs LM Studio · vs Jan · vs Open WebUI · vs GPT4All · vs Msty · vs KoboldCpp · vs SillyTavern · LM Studio alternatives · Best local AI apps 2026
FAQ
Is it really free and offline? Yes. AGPL-3.0, no account, no usage limits. In local mode chat, agent runs and image and video generation all happen on your machine, and after the model download they work without a connection. The app has no analytics kit and sends no crash reports. On its own it uses the network for two things: it checks GitHub Releases for updates shortly after start and at most every six hours after that, and it counts each press of the Cloud switch (which way, platform, app version, no identifier). While you are signed in to LU Cloud it also checks your account every five minutes. Settings, General, Privacy has the full list.
What does "uncensored" mean? Abliterated models have the trained in refusal behaviour removed from the weights, so it is not a jailbreak that can be patched or break. They answer directly, without refusals. Full guide.
What hardware do I need? Chat runs a 3B model on 8 GB of system RAM with no GPU at all, and an 8B model comfortably on a 6 GB card. Image generation starts at 6 to 8 GB of VRAM, and so does video on AnimateDiff Lightning or FramePack F1; the Wan and Hunyuan models want 12 GB or more. The model manager marks what fits before you download.
Can it replace ChatGPT or Claude? For most chat, writing and coding, yes, with a good 8B to 14B local model, and it stays private and unlimited. Frontier cloud models are still stronger on the hardest reasoning. You can add them with your own API keys, or use the Cloud switch.
Does remote access leak data? Remote access is off until you start it, sits behind a six-digit passcode, and shows when a device is connected. On your own network the chat goes straight from phone to PC. Over the internet Cloudflare relays it: the traffic is encrypted to and from Cloudflare, not end to end, so Cloudflare could read it.
What about macOS? The macOS row of the Download table says whether the current release has a Mac build. On a Mac, chat runs on local models through the bundled server with Metal, and Create makes images and video on the Mac itself, without ComfyUI, so what this README says about ComfyUI, VRAM and LoRA folders describes Windows and Linux. On any Mac you can use LU Cloud in the browser at lu-labs.ai, which runs chat, images and video on hosted GPUs.
高质量的开源AI工作流项目，支持多种功能
- 需要让 Claude / Cursor 操作本地工具的 AI 工程师
- 构建多智能体协作系统的 Agent 开发者
- 构建企业知识库 / RAG 检索应用的团队
- 做语音类 AI 产品的开发者
- 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC，避免暴露公网
- 生产部署优先使用 Docker Compose 隔离依赖，并挂载 volume 持久化数据
- 本地部署优先选 GGUF 量化模型，节省显存并保持响应速度
- 分块大小建议 256-512 tokens，向量库优选 pgvector 或 Qdrant
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- MCP 配置路径拼错或权限不足，重启 Claude Desktop 才生效
- 容器内无法访问宿主机 localhost — 使用 host.docker.internal
- embedding 模型与查询模型不一致导致检索失效
- 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
- Docker：locally-uncensored 提供官方镜像，docker compose up 一键启动
- CLI：直接 npm install -g / pip install，命令行调用
- 本地部署：CPU 8GB 起，GPU 推荐 16GB+ 显存
- 云端托管：可放在 Vercel / Railway / Fly.io 等 PaaS 平台
⚡ 核心功能
- 可视化 Agent 工作流编排，无需编写复杂代码
- 支持多步骤自动化任务链，实现全流程无人值守
- 与外部 API、数据库和第三方服务无缝集成
- 内置错误处理与自动重试机制，保障稳定运行
- 提供可复用的自动化模板，快速在同类场景部署
- 需要让 Claude / Cursor 操作本地工具的 AI 工程师
- 构建多智能体协作系统的 Agent 开发者
- 构建企业知识库 / RAG 检索应用的团队
- 做语音类 AI 产品的开发者
- 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC，避免暴露公网
- 生产部署优先使用 Docker Compose 隔离依赖，并挂载 volume 持久化数据
- 本地部署优先选 GGUF 量化模型，节省显存并保持响应速度
- 分块大小建议 256-512 tokens，向量库优选 pgvector 或 Qdrant
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- MCP 配置路径拼错或权限不足，重启 Claude Desktop 才生效
- 容器内无法访问宿主机 localhost — 使用 host.docker.internal
- embedding 模型与查询模型不一致导致检索失效
👥 适合人群
🎯 使用场景
- 自动化日常重复性工作，将精力集中于创造性任务
- 构建数据采集 → 处理 → 输出的完整自动化管线
- 实现跨平台、跨系统的数据流转和业务协同
⚖️ 优点与不足
- +大幅减少重复性人工操作
- +可视化流程，清晰直观
- +可扩展性强，支持复杂场景
- −初始配置和调试需投入一定时间
- −强依赖外部服务的稳定性
- −复杂场景需具备一定技术基础
该工具使用 NOASSERTION 协议，商用场景请仔细阅读协议条款，必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。
🔗 相关工具推荐
❓ 常见问题 FAQ
总体来看，本地AI工作流 是一款质量优秀的Agent工作流，在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态，建议收藏备用，结合自身场景选择合适时机引入使用。
| 原始名称 | locally-uncensored |
| 原始描述 | 开源AI工作流：Local AI desktop app — chat, agent mode, image gen, video gen. Supports Ollama, 。⭐581 · TypeScript |
| Topics | aichatimage-genvideo-gentypescript |
| GitHub | https://github.com/PurpleDoubleD/locally-uncensored |
| License | NOASSERTION |
| 语言 | TypeScript |
收录时间：2026-06-07 · 更新时间：2026-06-08 · License：NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。
🤖 交给 Agent 安装 · 本地AI工作流
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