An open-source, community-driven dependency manager for AI agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
GitHub Copilot · Claude Code
Documentation · Quick Start · CLI Reference
Why APM
AI coding agents need context to be useful — standards, prompts, skills, plugins — but today every developer sets this up manually. Nothing is portable nor reproducible. There's no manifest for it.
APM fixes this. Declare your project's agentic dependencies once in apm.yml, and every developer who clones your repo gets a fully configured agent setup in seconds — with transitive dependency resolution, just like npm or pip.
# apm.yml — ships with your project name: your-project version: 1.0.0 dependencies: apm: # Skills from any repository - anthropics/skills/skills/frontend-design # Plugins - github/awesome-copilot/plugins/context-engineering # Specific agent primitives from any repository - github/awesome-copilot/agents/api-architect.agent.md # A full APM package with instructions, skills, prompts, hooks... - microsoft/apm-sample-package
git clone <org/repo> && cd <repo> apm install # every agent is configured
Highlights
- One manifest for everything — instructions, skills, prompts, agents, hooks, plugins, MCP servers
- Install from anywhere — GitHub, GitLab, Bitbucket, Azure DevOps, GitHub Enterprise, any git host
- Transitive dependencies — packages can depend on packages; APM resolves the full tree
- Compile to standards —
apm compileproducesAGENTS.md(GitHub Copilot) andCLAUDE.md(Claude Code) - Create & share —
apm packbundles your current configuration as a zipped package - CI/CD ready — GitHub Action for automated workflows
Get Started
curl -sSL https://raw.githubusercontent.com/microsoft/apm/main/install.sh | shOther install methods
# Homebrew brew install microsoft/apm/apm # pip pip install apm-cli
Then start adding packages:
apm install microsoft/apm-sample-package
See the Getting Started guide for the full walkthrough.
Community
- Roadmap & Discussions
- Contributing
- AI Native Development guide — a practical learning path for AI-native development
Built on open standards: AGENTS.md · Agent Skills · MCP
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.