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Agent工作流

本地AI工作流

基于 TypeScript · 无代码搭建完整 AI 自动化流程
英文名:locally-uncensored
⭐ 581 Stars 🍴 73 Forks 💻 TypeScript 📄 NOASSERTION 🏷 AI 8.0分
8.0AI 综合评分
aichatimage-genvideo-gentypescript
⚙️ 配置说明
✦ AI Skill Hub 推荐

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 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升,基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化(模拟鼠标键盘操作),AI Agent 工作流通过理解任务意图、动态规划执行路径,能够处理更复杂的非结构化任务。

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。

GitHub Stars
⭐ 581
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
正常维护,社区驱动
开源协议
NOASSERTION
AI 综合评分
8.0 分
工具类型
Agent工作流
Forks
73

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

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。

📌 核心特色
  • 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
🎯 主要使用场景
  • 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
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 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
📋 安装步骤说明
  1. 访问 GitHub 仓库获取工作流文件
  2. 在对应平台(Dify / Flowise / Make 等)中找到「导入工作流」功能
  3. 上传工作流文件
  4. 按照提示配置必要的环境变量和 API Key
  5. 运行测试确认流程正常后投入使用
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 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);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# 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"
📑 README 深度解析 真实文档 完整度 61/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<img src="logos/LU-monogram-bw.png" alt="Locally Uncensored" width="80">

What's fixed

  • ComfyUI Desktop App is detected and accepted in onboarding (Bug U — levoy1 GH #47). Pre-v2.4.9 both auto-detect and manual path entry rejected the %LOCALAPPDATA%\Programs\ComfyUI binary folder with "Invalid path — main.py not found". v2.4.9 walks a probe list when given a folder with ComfyUI.exe until it finds the actual Working Directory with main.py.
  • Chats with attached RAG documents persist across NSIS auto-update / WebView2 data reset (Bug V/a — kj103x Discord 2026-05-23). Separate 30 s / beforeunload IndexedDB backup → %APPDATA%\Locally Uncensored\rag_chunks_backup.json restores chunks on cold start and on warm starts where IndexedDB is empty.
  • LU-spawned Ollama is killed when you quit LU (Bug V/b — same kj103x report). ollama serve no longer lingers as a ~200 MB orphan after a tray-menu Quit. User-managed Ollama running pre-launch is still left alone.
  • Benchmark per-model display shows the latest session's tok/s, not a drifting historical average (Bug W — nightmare13740 Discord 2026-05-23/24). New getLatestSpeed groups runs into sessions via a 10 s timestamp gap; leaderboard keeps the cross-model average.
  • Thinking + Agent toggles light up for community-uncensored Gemma 4 builds (Bug X — leonsk29 Discord 2026-05-24). normalizeFamily rewritten as a greedy strip + suffix/quant peel + family-dash collapse /g, plus word-boundary contains-check.

What's new

  • Onboarding suggests nomic-embed-text for Document Chat / RAG (GH #45 — leonsk29). Auto-detects existing embedding models or offers a one-click 274 MB pull.
  • VRAM filter for text models in Discover (GH #46 — leonsk29). Lightweight ≤10 GB / Mid-Range 10–16 GB / High-End >16 GB chips on the text tab.

</details>

<details> <summary>v2.4.8 — superseded</summary>

Hotfix: 8 fixes on top of v2.4.6. All user-reported. v2.4.7 was tagged but not separately released; its six fixes ship together with v2.4.8.

What's fixed

  • Text models in Discover keep their INSTALLED badge after restart (Bug S — leonsk29 GH #43). Pre-v2.4.8 the badge only lit up if the download finished in the current session, so a model installed yesterday looked uninstalled today. v2.4.8 also matches against the provider model list (Ollama tags directly, plus GGUF downloads via hf.co/<repo>:<quant> references), so whatever Ollama / LM Studio actually have on disk is what the Discover grid shows.
  • canPull:false text models now get a clickable HuggingFace link (Bug T — leonsk29 GH #44). Qwen 3.6 27B Samantha and GLM 5.1 754B MoE both have HF pages but no GGUF on day-one, so they show up as Available rather than downloadable. Before this they had no UI to open the HF page from inside LU. v2.4.8 adds the external-link button next to the Available badge.
  • LM Studio server-off banner is dismiss-able and matches the dropdown chrome (Bug Q UX polish). The v2.4.7 banner that surfaces "Start LM Studio Server" in the model picker had amber styling that clashed with the rest of the dropdown. v2.4.8 switches to neutral white/gray and adds an X to dismiss. Dismiss sticks across dropdown re-opens within the same LU session but is not persisted, so the hint resurfaces on the next launch in case the user forgot to start the server.
  • Benchmark tok/s now matches actual chat throughput (Bug M — nightmare13740 Discord). Pre-v2.4.7 the benchmark counted time-to-first-token + stream init in the tok/s denominator, so any local model looked slower in the Benchmark tab than in real chat. On nightmare13740's RTX 4070 Laptop 8 GB + gemma4:e4b: ollama CLI 30 tok/s, manual chat 23–25 tok/s, pre-fix benchmark 12 tok/s. v2.4.8 starts the clock at first-token-received and (for Ollama) prefers the server-reported eval_count / eval_duration from the final stream chunk, with a wall-clock fallback for OpenAI-compat providers when streaming gets buffered. End result: benchmark matches CLI / chat baselines on every provider.
  • Windows ComfyUI install probes git --version before clone (Bug N — juliandiggins-stack GH #40). If a WSL / Linux-mounted git is first on PATH, the previous code let the clone start and die mid-flight with cryptic stderr. New tri-state probe (Native / NonNative / Missing) either proceeds silently, surfaces a clear "install Git for Windows" hint when missing, or logs a soft warning when a non-native git might still work.
  • Anthropic custom-proxy provider no longer double-prefixes /v1 (Bug O — 0yagizz Discord). Users pointing the Anthropic provider at a proxy (claude-relay-server, LiteLLM, opencode-zen) whose docs end the baseUrl with /v1 got a silent 404 on …/v1/v1/messages. v2.4.8 collapses the duplicate.
  • Image / video generation timeouts now configurable in Settings (Bug P — ake0n_official Discord). CPU-only / iGPU users finished sampling mid-run when the previous hard-coded 20-min image cap hit. v2.4.8 surfaces both image and video timeouts as numeric inputs (defaults stay 20 min / 60 min, range 1–480 min).
  • Chat model picker surfaces "Start LM Studio Server" inline when LM Studio is installed but its server is off (Bug Q — wakeywakeynow GH #41). Symptom was "i am running lm studio but i can't choose any models i have installed!!!!" — root cause: LM Studio's HTTP server doesn't auto-start with the app, so the user has models on disk but the model picker silently dropped LM Studio. v2.4.8 detects the installed-but-off state and renders an inline banner in the picker with a working Start Server button; clicking it kicks off the LM Studio server via the existing start_lmstudio_server Tauri command and re-populates the model list without restarting LU.
  • Custom ComfyUI save nodes' outputs now surface in LU's gallery (Bug R — silentrunningcaUSA GH Discussion #6). Pre-v2.4.8 LU only scraped images / gifs / videos from the history payload, missing every community workflow that uses a non-canonical save node (audio, custom metadata, CivitAI flows). v2.4.8 generic extractor accepts any keyed array of file-shaped objects.

Features

For Contributors — Dev-Mode Setup

⚠️ Just want to use the app? Grab the installer from Releases (the .exe or .msi in the Download section above). That gives you the full Tauri desktop app with auto-update. The commands below start LU in browser dev-mode — fewer features, Vite proxy noise, meant for contributing to the codebase.

```bash git clone https://github.com/PurpleDoubleD/locally-uncensored.git cd locally-uncensored setup.bat # Windows — installs Node, Git, Ollama, then npm run dev

setup.sh # macOS / Linux equivalent

```

Launches at http://localhost:5173 in your default browser.

Build from Source

git clone https://github.com/PurpleDoubleD/locally-uncensored.git
cd locally-uncensored
npm install
npm run dev          # Development
npm run tauri build  # Production binary

Quick Start

New to Locally Uncensored? Read the Getting Started Guide with screenshots for every step.

Screenshots

Chat with PersonasImage / Video Generation
![Chat](docs/screenshots/chat_personas_dark.png)![Create](docs/screenshots/create_dark.png)
**Model Manager****Create View with Parameters**
![Models](docs/screenshots/model_manager_dark.png)![Create Params](docs/screenshots/create_params_dark.png)

---

☁️ Optional cloud waitlist

A small, dismissible badge to be notified if a hosted version ever arrives — it only sends an email address you choose to type in. Everything else stays on your device.

🎯 aiskill88 AI 点评 A 级 2026-06-07

高质量的开源AI工作流项目,支持多种功能

⚡ 核心功能

👥 适合人群

自动化工程师和运维人员项目经理和业务分析师希望减少重复性工作的专业人士数字化转型团队

🎯 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

✅ 优点
  • +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
⚠️ 不足
  • 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
⚠️ 使用须知

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。

📄 License 说明

📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。

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❓ 常见问题 FAQ

参考项目文档和示例代码
💡 AI Skill Hub 点评

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。

⬇️ 获取与下载
📚 深入学习 本地AI工作流
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 locally-uncensored
Topics aichatimage-genvideo-gentypescript
GitHub https://github.com/PurpleDoubleD/locally-uncensored
License NOASSERTION
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/PurpleDoubleD/locally-uncensored 🌐 官方网站  https://locallyuncensored.com

收录时间:2026-06-07 · 更新时间:2026-06-07 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。