Flyto Core

io.github.flytohub由 GitHub 账号 flytohub 发布v2.12.6更新于 Oct 24, 2026

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

发布方自己的服务:core.blue

概览

AI 生成的概览

本地运行的 Python 执行引擎,为 AI 助手提供数百个工作流模块,覆盖浏览器、API、文件、数据与加密步骤,并记录可回放的执行轨迹。

可以做什么
运行并回放由注册模块组成的 YAML 工作流,失败后从出错步骤继续,而不是整体重跑,并可查看每步的执行轨迹、断点与证据快照。驱动浏览器:启动、跳转、点击、执行脚本、截图、采集性能指标并做站点审计。调用 API 与 AI 服务商,解析和转换 JSON、YAML、CSV、XML、数组、对象与字符串。读写、复制、移动、删除和比对文件,并执行校验、测试、统计、图像与加密操作。还可调用更广目录中的 Docker、Kubernetes、网络、压缩包、PDF、AWS、缓存与 git 模块。
适用场景
适合需要把浏览器、API 与文件操作串成多步自动化,并希望留下执行记录、能从失败步骤回放的场景。也适合以 YAML 工作流定义的重复性站点审计、抓取导出 CSV 和价格监控。
运行要求
以 pip 安装的本地 Python 包运行;浏览器模块需要安装浏览器扩展包并一次性安装 Playwright Chromium。MCP 服务器以 Python 模块方式启动。可选的服务商、连接器与验证服务需通过扩展包和文档中说明的环境变量显式启用。
安装前请注意
模块可以写入、移动和删除文件,也会发起对外网络请求,因此通过环境变量配置的文件系统与网络边界很重要。加密模块涉及加解密、JWT 与哈希。密钥应保存在运行环境中,而不是写进工作流 YAML。部分仅限宿主的能力需要由宿主注入授权。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Flyto Core,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 2a428ff

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v2.12.6最新Sep 16, 2026

评分

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其他 Core 集成