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apm – Python Package Manager that Simplifies AI Agent Setup

apm lets founders install, version, and organize AI‑agent packages effortlessly, so you can ship features faster. 4.0k+ GitHub stars.

From the repo · “Agent Package Manager”

4,106 stars+96★ this week403 forksPythonGuide quality 9/10 · reviewed Oct 9Updated 10/21/2026100% free · open source
What it does

Apm is a package manager for AI agents that enables seamless installation, management, and deployment of AI models and packages.

When to use it
  • •When building AI-powered applications that require multiple models and packages
  • •When needing to manage different versions of AI models and packages
  • •When wanting to simplify the deployment of AI models and packages across different environments
Ready-to-paste prompt
apm install transformers && apm create my_transformer_package && echo 'from transformers import AutoModelForSequenceClassification' > my_transformer_package/__init__.py
Heads up: Apm requires Python 3.7 or later and the `pip` package manager to be installed, and you need to set up a GitHub personal access token to publish packages to the apm registry
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/apm && curl -fsSL https://workflowstacks.com/api/skills/apm/claude-skill -o ~/.claude/skills/apm/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How apm – Python Package Manager that Simplifies AI Agent Setup works
Codeflow
Free to inspect

Apm – Python Package Manager that Simplifies AI Agent Setup is a very large Python project (~228k lines across 692 code files, plus 1351 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~228k lines · 692 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 97%JavaScript 2%Shell 1%PowerShell 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
  3. 3
    src/apm_cli/__init__.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic486 files
packages/Sub-packages / plugins175 files
docs/Documentation142 files
templates/Templates15 files
scripts/Helper scripts130 files
devcontainer/Folder14 files
tests/Tests — proof it works1537 files
.agents/Tool / agent settings231 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
microsoft
Language
Python
Category
ai-agent
Published
9/18/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/apm.svg)](https://workflowstacks.com/skills/apm?utm_source=github&utm_medium=badge)
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