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bfree-trainer-suite
Bno-cost Smart Trainer App 2026.
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Ver la guía →spec-kitty es un proyecto de agentes de IA de código abierto de spec-kitty (spec-kitty/spec-kitty en GitHub). Tiene 1.662 estrellas en GitHub y 176 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 4 de octubre de 2026.
Open ai agents for spec-driven development with organizational governance..
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around agentic coding for a focused workflow.
Built around ai agents for a focused workflow.
Built around ai coding workflow for a focused workflow.
Built around ai development dashboard for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/spec-kitty/spec-kitty.gitSet up Python dependencies.
cd spec-kitty && pip install -r requirements.txtLaunch the application.
cd spec-kitty && python main.pyIt spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and consistent engineering standards across AI coding agents and harnesses, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Bno-cost Smart Trainer App 2026.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.