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workhorse-workflows

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on PyPI and has been in the index since 3 Aug 2026. How this is checked

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.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

4 features

Purpose: Installing and reusing predefined LLM agent workflows without manually copying code or configurations.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: agents, workflow_automation, code_generation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

workhorse-workflows sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on installing and reusing predefined LLM agent workflows without manually copying code or configurations. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: 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. Inferred · not functionally tested: 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.

Tasks: Inferred · not functionally tested

  • Entry Point Discovery
  • Prebuilt Agent Workflows
  • LLM Orchestration
  • Python Packaging

Topics: Inferred · not functionally tested

Tags
agent-workflowsllm-orchestrationstablemateentry-pointspython-package
AI capabilities
Text
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropic
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 01:34 UTC
    workhorse-workflows seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about workhorse-workflows

What does workhorse-workflows do?
Inferred · not functionally tested: Workhorse-workflows focuses on installing and reusing predefined LLM agent workflows without manually copying code or configurations. It is catalogued under Frameworks & runtimes on PulseGate.
Who should use workhorse-workflows?
Inferred · not functionally tested: workhorse-workflows is an open-source project built for developers.
Is workhorse-workflows free?
Basis unknown · not verified: Yes — workhorse-workflows is open source under the MIT license and free to use.
What platforms does workhorse-workflows run on?
Basis unknown · not verified: workhorse-workflows runs on the command line.
Is workhorse-workflows still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 247 commits in the last 90 days.
Who develops workhorse-workflows?
workhorse-workflows is developed by GabrielCpp.
When did workhorse-workflows launch?
workhorse-workflows first shipped in 2026.
Is workhorse-workflows open source?
Basis unknown · not verified: Yes — workhorse-workflows is open source under the MIT license.

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