Flyto Core

io.github.flytohub由 GitHub 帳號 flytohub 發布v2.12.6更新於 Oct 24, 2026

Execution engine for AI agents. 412 modules: browser, file, Docker, data, crypto.

發布方自己的服務:core.blue

概覽

AI 產生的概覽

在本機執行的 Python 執行引擎,為 AI 助理提供數百個工作流程模組,涵蓋瀏覽器、API、檔案、資料與加密步驟,並記錄可重播的執行軌跡。

可以做什麼
執行並重播由註冊模組組成的 YAML 工作流程,失敗後從出錯步驟繼續,而不是整個重跑,並可檢視每一步的執行軌跡、中斷點與證據快照。驅動瀏覽器:啟動、前往、點擊、執行腳本、截圖、擷取效能指標並進行網站稽核。呼叫 API 與 AI 服務商,解析與轉換 JSON、YAML、CSV、XML、陣列、物件與字串。讀取、寫入、複製、移動、刪除與比對檔案,並執行驗證、測試、統計、影像與加密操作。還可呼叫更廣目錄中的 Docker、Kubernetes、網路、壓縮檔、PDF、AWS、快取與 git 模組。
適用情境
適合需要把瀏覽器、API 與檔案操作串成多步驟自動化,並希望留下執行紀錄、能從失敗步驟重播的情境。也適合以 YAML 工作流程定義的重複性網站稽核、擷取匯出 CSV 與價格監控。
執行需求
以 pip 安裝的本機 Python 套件執行;瀏覽器模組需要安裝瀏覽器擴充套件並一次性安裝 Playwright Chromium。MCP 伺服器以 Python 模組方式啟動。可選的服務商、連接器與驗證服務需透過擴充套件和文件說明的環境變數明確啟用。
安裝前請注意
模組可以寫入、移動和刪除檔案,也會發出對外網路請求,因此透過環境變數設定的檔案系統與網路邊界很重要。加密模組涉及加解密、JWT 與雜湊。密鑰應保存在執行環境中,而不是寫進工作流程 YAML。部分僅限主機的能力需要由主機注入授權。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Flyto Core,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Flyto2

Yep, it talks to a real robot.
It also opens websites, calls APIs, works with files, and runs the steps in between.

English · 日本語 · 한국어 · 简体中文 · Español · Português (BR)

[PyPI] [Apache-2.0] [Python 3.10+]

Try something.

Say you want to check a website, grab screenshots, collect some data, and save a report.

Run this:

bash
pip install "flyto-core[browser]"playwright install chromiumflyto recipe competitor-intel --url https://github.com/pricing

That's a real workflow. No agent prompt needed. It opens a browser, runs the steps, and saves the results.

Want to poke around?

bash
flyto recipes                 # see the built-in workflowsflyto modules                 # browse the toolsflyto run your-workflow.yaml  # run your own

There are 482 registered modules and 41 built-in recipes in the current Core inventory. Browser stuff, APIs, files, data, tests, and plenty more. Use what you need.

And about that robot…

We're already connecting Flyto2 to a real TurtleBot3 using ROS 2.

The robot runs its normal ROS 2 / Nav2 stack. A separate adapter talks to it. Flyto2 handles the software steps and their execution records.

No custom Flyto2 firmware on the robot. No motor drivers crammed into this repo.

This isn't a claim that every robot is plug-and-play. The current combined setup still needs its full end-to-end hardware sign-off. But the ROS 2 adapter and real-robot development are already here.

So what's in this repo?

This is flyto-core, the Python execution engine behind Flyto2.

You can call it from Python, run YAML workflows, use its local HTTP API, or hook it into an AI client through MCP.

bash
pip install flyto-corepython -m core.mcp_server

Your agent gets access to Core's tools. Moving a physical device still requires a trusted host to approve the action.

Different device software stack? Different pack. That's how ROS 2 and other integrations stay separate without turning Core into a giant pile of device drivers.

How do I know what actually happened?

This part matters.

When a workflow runs, Flyto2 keeps a record of each step. If something fails, you can inspect the run and use checkpoints or replay where it's safe to do so.

And if a tool says “done”? Core can check the evidence it reports against the action's contract. It doesn't just throw away the trail once the command returns.

That's it. Run something, see what happened, build the next thing.


Website · Documentation · PyPI · YouTube · Issues

Flyto2 is the product. flyto-core is the Python package. Licensed under Apache 2.0. Security reports: GitHub advisories.

來源:README.md,提交 2a428ff

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v2.12.6最新Sep 16, 2026

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其他 Core 整合