workhorse-workflows is a Python package that packages several predefined Stablemate agent workflows including hello-world, research, author, coder, and okf-builder. It allows these workflows to be automatically discovered by the Workhorse framework via Python entry points. Primarily intended for developers building with LLMs and agent orchestration tools, especially those using Claude.
workhorse-workflows sits in PulseGate's AI & ML category. It focuses on installing and reusing predefined LLM agent workflows without manually copying code or configurations. It is built as an open-source project for developers. The project is open source (MIT). It runs on the command line.
It is developed by GabrielCpp, and it first shipped in 2026. Development happens publicly on GitHub with 247 commits in the last 90 days. Among its 4 catalogued features are Entry Point Discovery, Prebuilt Agent Workflows, and LLM Orchestration.
Summary written by a language model from the project’s public pages.
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