经 AI Skill Hub 精选评估,星云节点 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
星云节点 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。
星云节点 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。
# 方式一:pip 安装(推荐)
pip install nebula-nodes
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install nebula-nodes
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/JustinPerea/nebula-nodes
cd nebula-nodes
pip install -e .
# 验证安装
python -c "import nebula_nodes; print('安装成功')"
# 命令行使用
nebula-nodes --help
# 基本用法
nebula-nodes input_file -o output_file
# Python 代码中调用
import nebula_nodes
# 示例
result = nebula_nodes.process("input")
print(result)
# nebula-nodes 配置文件示例(config.yml) app: name: "nebula-nodes" debug: false log_level: "INFO" # 运行时指定配置文件 nebula-nodes --config config.yml # 或通过环境变量配置 export NEBULA_NODES_API_KEY="your-key" export NEBULA_NODES_OUTPUT_DIR="./output"
--- name: Nebula Nodes slug: nebula-nodes status: active tagline: A local AI creation studio. Connect models, media, and editable artwork on one canvas. description: A visual node graph for image, video, audio, text, 3D, and world generation, with specialized creative workspaces and optional agent chat. Runs locally using your own provider keys. stack: [Python 3.12, FastAPI, React 19, TypeScript, Vite, React Flow, Zustand, WebSockets] features: - Bring your own provider keys - Typed node graph with streaming previews and subgraph caching - Canvas, Create, Cinema, Character, Moodboard, Video Editor, and Remotion workspaces - Paper-linked artwork with immutable snapshots and explicit recipe reruns - Saveable graphs, local outputs, and retained run history - Optional Claude Code and Codex chat with model and effort selection hero: docs/assets/banner.svg links: github: https://github.com/JustinPerea/nebula-nodes lab: https://justinperea.com/lab/nebula-quiver visibility: public
Use Python 3.12 and Node.js 24. Install FFmpeg (ffmpeg and ffprobe on your PATH) for video processing and QC.
git clone https://github.com/JustinPerea/nebula-nodes.git
cd nebula-nodes
Terminal 1 — backend, from the repository root:
python3.12 -m venv backend/.venv
backend/.venv/bin/python -m pip install -r backend/requirements.txt
backend/.venv/bin/python backend/devserver.py --port 8000
It prints a link like http://localhost:5173/#nebula-person=…&backend=http://127.0.0.1:8000 (add --open to open it in your browser instead). That link connects the canvas as you: only a tab opened from it can change Settings, keys and connections, accept agent proposals and start agent chats. The token lasts until the backend stops, and survives code reloads. A tab opened without it still works for building and running, with those actions locked. Agents that reach Nebula only through its MCP server, CLI or API don't get the token, so they stay held to the spending limits. That covers the in-app agents: Claude and Codex (its shell has no network; it reaches Nebula through the Nebula MCP server). Personal agents get a per-session token in the shared outside budget instead (docs/PERSONAL-AGENTS.md). Anything with its own unsandboxed shell can still read the token from your browser's storage (see docs/MCP-SETUP.md and In-app agents use this server).
Terminal 2 — frontend, from the repository root:
npm --prefix frontend ci
npm --prefix frontend run dev -- --host 127.0.0.1 --port 5173
To run a second copy next to this one (for tests or screenshots), see Running a second, isolated dev instance; otherwise it can find and write to the backend on port 8000.
Open the link from Terminal 1, then add the provider keys you need in Settings (the gear at the top right of Projects, or the bottom of the left rail inside a project). Provider usage is billed to your accounts. Browser mode stores keys in the gitignored, plaintext settings.json; the macOS desktop app uses Keychain encryption. Neither reads keys from your shell: devserver.py and the app both drop provider key variables like OPENAI_API_KEY from the backend's environment, and devserver.py prints the names it ignored.
Try a Text Input → GPT Image 2 → Preview graph and hit Run. Generated files go to output/ by default; change the location in Settings → Storage.
Prefer an app? On an Apple silicon Mac, build Nebula.app once and open it from Applications or the Dock; it starts the backend itself and stops it when you quit:
cd desktop && npm install && npm run package && npm run install-app
It runs this checkout (so git pull updates it; rebuild the renderer with cd frontend && npm run build:desktop after frontend changes) and keeps its own data in ~/Library/Application Support/Nebula Nodes/. The first launch copies your browser-dev data and API keys there (copy only, nothing is deleted), but only when that folder has no migration-state.json yet. If an earlier desktop run already left one, the copy is skipped: the app opens with that older data and asks for your API keys again, so add them in Settings (they go to the Keychain). To start fresh from browser dev instead, quit Nebula and move ~/Library/Application Support/Nebula Nodes aside (rename it, say to Nebula Nodes.old; don't delete it), then open Nebula again. After the first launch the app and browser dev have separate projects, outputs and settings. The two terminals above stay the way to develop. Details, signing and Gatekeeper notes: desktop/README.md. Agent chat and Paper are optional; configure them when you need them.
高质量的开源AI工作流项目,支持多媒体处理
该工具使用 AGPL-3.0 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。
⚠️ AGPL 3.0 — 最严格的 Copyleft,网络服务端使用也需开源,SaaS 使用受限。
AI Skill Hub 点评:星云节点 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | nebula-nodes |
| 原始描述 | 开源AI工作流:Nebula Nodes — local-first, BYOK node-based AI media canvas for image, video, au。⭐10 · Python |
| Topics | ai-agentsbyokcreative-aigenerative-aipython |
| GitHub | https://github.com/JustinPerea/nebula-nodes |
| License | AGPL-3.0 |
| 语言 | Python |
收录时间:2026-06-22 · 更新时间:2026-06-22 · License:AGPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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