返回目錄

tongflow

編輯精選維護狀態: 活躍

tong-io/tongflow

多模態工作流工作室與引擎,提供畫布與 Python 外掛引擎,以及 DeepSeek Harness 工作室外掛。

前往 GitHub專案首頁
$ dsh plugin add tongflow

1,020

星數

131

Fork

TypeScript

語言

AGPL-3.0

授權條款

2026-04-08

建立於

2026-09-10

最近推送

AGPL-3.0 開源多模態 GenAI 工作流工作室(畫布 + Python 外掛引擎),以 dsh-tongflow 工作室外掛接入 DeepSeek Harness,支援桌面軟體、Docker 或原始碼三種執行方式。

DSH 整合

相容

自動推斷

安全稽核

未稽核

最後核實

2026-08-21

授權條款

AGPL-3.0

01它能幫你完成什麼?

  • Design multimodal generative workflows that turn text into images, talking-head videos and music videos

    Finished media assets from one canvas — fused images, a lip-synced talking-head avatar video, or a complete music video (lyrics + song + characters + scenes + storyboard)

    Creators and content teams who want generative-AI workflow automation across text, image, video and audio without writing code

  • Automate end-to-end pipeline execution instead of re-running steps manually

    Workflows built once from AI-model nodes run node by node, or in one click via Execute Mode's run button

    Operators and teams who need repeatable, one-click workflow automation over multimodal generation tasks

  • Self-host a fully local, account-free workflow automation studio

    A running studio at http://localhost:3000 with plugins and credentials managed in-app; all data kept in a local /data volume (SQLite db, uploads, settings)

    Individuals and teams who want their own workflow-automation studio without cloud accounts or external data storage

02如何將外掛接入 DeepSeek Harness?

先決條件

  • Desktop path: macOS (Universal — Apple Silicon & Intel) or Windows x64 machine, plus a Google or WeChat account to sign in
  • Self-host from source: Node with pnpm, and a Python 3.10+ interpreter on PATH
  • Self-host with Docker: a Docker runtime — no Node / Python / pnpm setup required

安裝步驟

  1. 01

    Download the installer for your platform (TongFlow-mac-universal.dmg or TongFlow-win-x64.msi from GitHub Releases), install it, and open it

  2. 02

    Sign in with Google or WeChat and start creating — the cloud studio manages plugins and execution

  3. 03

    Self-host from source: run `pnpm install`, `pnpm plugins:install`, then `pnpm start:prod` and open http://localhost:3000

  4. 04

    Self-host with Docker: `docker run -d -p 3000:3000 -v tongflow-data:/data -v tongflow-plugins:/plugins ghcr.io/tong-io/tongflow:latest`, then open http://localhost:3000

  5. 05

    Self-host: install the capability plugins you need from the in-app plugin manager, and add credentials in Settings

驗證整合成功

  • Open http://localhost:3000 and the canvas is live (source or Docker self-host)

03DSH 整合程度與能力邊界

DSH 整合相容

dsh-tongflow — the DeepSeek Harness studio plugin listed in the repo description and topics; TongFlow's plugin-based architecture lets every platform package its own independent plugin around the studio

  • Multimodal canvas workflows (add / transform / combine)

    text, images, audio, video, documents, URLs and 3D models added as canvas nodeschained generative results — images, video, music, speech, 3D — arranged with just three operations, no manual node connecting

    generation nodes call external model providers through the installed plugins
  • Broad modality coverage (text, image, video, audio, 3D)

    any supported modality or file formatgeneration, editing, understanding, upscaling, lip sync, motion capture, music creation, OCR, speech synthesis/recognition and more as out-of-the-box nodes

  • Official plugin catalog — API, router and GPU/CPU plugins

    plugins for OpenAI, Gemini, DeepSeek, ByteDance, xAI, Runway, OpenRouter, Replicate, fal and Modal-based GPU/CPU nodesper-node model pickers and capability implementations installed from the in-app plugin manager, usable immediately without restart

    first plugin install needs network access to GitHubofficial GPU/CPU plugins run on Modal and need MODAL_TOKEN_ID / MODAL_TOKEN_SECRET
  • Custom plugins via ABI contract + Python SDK

    a small Python package annotated against the ABI-generated types via the tongflow Python SDKnew capability nodes that pick one or more ABI slots and supply the implementation

    on first run a plugin provisions a shared Python venv and installs its requirements.txt from PyPI (needs network)

04適合誰?何時不該用?

適合

  • Creators and content teams who want generative-AI workflow automation across text, image, video and audio without writing code
  • Operators and teams who need repeatable, one-click workflow automation over multimodal generation tasks
  • Individuals and teams who want their own workflow-automation studio without cloud accounts or external data storage

不適合

  • macOS builds are not yet notarized with Apple, so Gatekeeper blocks the first launch; you must clear the quarantine flag once with `xattr -cr /Applications/TongFlow.app`.
  • The self-host image ships no plugins — the first plugin install needs network access to GitHub, and the first run installs Python dependencies from PyPI; Modal-backed plugins additionally need a Modal token.

05相容性、維護與安全提醒

  • macOS builds are not yet notarized with Apple, so Gatekeeper blocks the first launch; you must clear the quarantine flag once with `xattr -cr /Applications/TongFlow.app`.
  • The self-host image ships no plugins — the first plugin install needs network access to GitHub, and the first run installs Python dependencies from PyPI; Modal-backed plugins additionally need a Modal token.
  • Capability nodes execute through external model providers (OpenAI / Gemini / OpenRouter-style API plugins, or Modal GPU), so real workloads need provider API keys or a Modal account — Modal's free tier is capped at $30/month of GPU compute.
2026-04-082026-08-19v0.3.4

AGPL-3.0 · actively maintained (latest release v0.3.4, 2026-08-19)

06常見問題

TongFlow 如何接入 DeepSeek Harness?

儲存庫提供 dsh-tongflow,也就是 DeepSeek Harness 工作室外掛(見儲存庫描述與主題標籤)。TongFlow 的外掛化設計允許每個平台打包自己獨立的外掛,本頁根據 TongFlow 工作室的 README 撰寫,涵蓋桌面軟體、自架與外掛體系。

TongFlow 怎麼安裝?

桌面端:從 GitHub Releases 下載 macOS 通用版 dmg 或 Windows msi,安裝後開啟,用 Google 或微信登入即可。自架:執行 `docker run -d -p 3000:3000 -v tongflow-data:/data -v tongflow-plugins:/plugins ghcr.io/tong-io/tongflow:latest`;或從原始碼執行 `pnpm install`、`pnpm plugins:install`、`pnpm start:prod`。

需要 API Key 嗎?

Key 為選用且依外掛而定:在應用內 Settings 對話框或啟動參數中填寫,支援 OPENROUTER_API_KEY、GEMINI_API_KEY、OPENAI_API_KEY、MODAL_TOKEN_ID / MODAL_TOKEN_SECRET。官方 GPU/CPU 外掛執行於 Modal,每月有最高 $30 的免費 GPU 運算額度。

macOS 首次開啟被攔截怎麼辦?

組建尚未通過 Apple 公證,Gatekeeper 會顯示「TongFlow 已損壞」。把應用程式移入「應用程式」資料夾後執行一次 `xattr -cr /Applications/TongFlow.app` 清除隔離屬性即可正常開啟,安裝檔請直接從 Releases 頁面下載。

自架時資料存放在哪裡?

所有可寫入內容都放在 /data 磁碟區 —— SQLite 資料庫、上傳檔案與設定。外掛憑證由應用內 Settings 編輯器儲存在本機,修改後立即生效、不必重啟;自架即可取得完全本機、免帳號的 TongFlow。

08資料與來源

  • 自動推斷github.com850b2b934b93…

    TongFlow’s plugin-based design lets every platform package its own independent plugins, and we provide at least one offi…

此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生;最後核實於 2026-08-21。發現錯誤?提交更正。

🏆

最佳 DeepSeek Harness 外掛

從全目錄挑出的 12 個值得優先安裝的外掛,涵蓋各個分類。

DSH Plugins 是獨立的 DeepSeek Harness 外掛市集,與 DeepSeek 官方無關,也不代表官方背書。第三方外掛未經安全稽核,安裝前請審查原始碼。

每週取得最新的 DeepSeek Harness 外掛,絕不濫發。