microsoft/apm
Agent Package Manager
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 9 days ago, with 123 contributors on GitHub.
Peaked at #40 in the weekly ranking the week of Apr 19, its best in the past year.
Use Cases & Benefits
- Manages AI agent dependencies by declaring skills, prompts, instructions, and tools in a single manifest file for consistent agent setups.
- Ensures reproducible, portable AI agent configurations with automatic resolution of transitive dependencies across multiple repositories.
- Use for standardizing AI agent environments across developer teams to streamline onboarding and maintain coding standards.
- Use for integrating diverse AI capabilities like GitHub Copilot, Claude, and Codex into projects with unified dependency management.
- Use for creating and sharing custom AI agent packages including skills, prompts, hooks, and instructions for specialized workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
An open-source, community-driven dependency manager for AI agents.
apm.ymldeclares the skills, prompts, instructions, and tools your project needs — so every developer gets the same agent setup. Packages can depend on packages, and APM resolves the full tree.Think
package.json,requirements.txt, orCargo.toml— but for AI agent configuration.GitHub Copilot · Cursor · Claude · Codex · Gemini
AI coding agents need context to be useful: what standards to follow, what prompts to use, what skills to leverage. Today this is manual — each developer installs things one by one, writes instructions from scratch, copies files around. None of it is portable. There's no manifest for it.
APM fixes this. You declare your project's agentic dependencies once, and every developer who clones your repo gets a fully configured agent setup in seconds. Packages can depend on other packages — APM resolves transitive dependencies automatically, just like npm or pip.
That's it. Copilot, Claude, Cursor — every agent is configured with the right skills, prompts, and coding standards.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
411+102
Open issues
254+89
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| microsoft/apm | 4.2K | — | 65 | 9 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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