---
title: "apm vs agency"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-apm-vs-operand-agency"
tools: ["microsoft-apm", "operand-agency"]
---

# apm vs agency

*GraphCanon updated Aug 21, 2026*

## Verdict

Pick apm if agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license; pick agency if agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents.

[apm](https://microsoft.github.io/apm/) reports 3.4k GitHub stars, 301 forks, and 164 open issues, last pushed Jul 25, 2026. [agency](https://createwith.agency) has 489 stars, 28 forks, and 19 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [apm's repository](https://github.com/microsoft/apm) and [agency's repository](https://github.com/operand/agency).

| | [apm](/tools/microsoft-apm.md) | [agency](/tools/operand-agency.md) |
| --- | --- | --- |
| Tagline | Agent Package Manager | A fast and minimal framework for building agentic systems |
| Stars | 3,385 | 489 |
| Forks | 301 | 28 |
| Open issues | 164 | 19 |
| Language | Python | Python |
| Adopt for | Agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license. | Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [apm](/tools/microsoft-apm.md) | [agency](/tools/operand-agency.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Steady (60%) |
| Days since push | 2d | 71d |
| Open issues (now) | 164 | 19 |
| Stars delta | Unknown | +2 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/microsoft-apm/trust.md) | [trust report](/tools/operand-agency/trust.md) |

## Decision facts: apm

- **Adopt for:** Agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license.

## Decision facts: agency

- **Adopt for:** Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents.

## Choose when

### Choose apm if…

- Tags unique to apm: ai-agents, claude-code, codex-cli, context-engineering.
- You focus on AI agent development with specific package needs
- More GitHub stars (3.4k vs 489) - visibility, not fit.

### Choose agency if…

- Tags unique to agency: actor-model, agent-framework, autonomous-agents.
- When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies.
- Leaner open-issue backlog (19).

## When NOT to use apm

- You prefer generic software or non-AI-specific package managers
- Requirements include support for languages other than Python

## When NOT to use agency

- If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework.
- In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design.

## Common questions

### What is the difference between apm and agency?

apm: Agent Package Manager. agency: A fast and minimal framework for building agentic systems. See the comparison table for live GitHub stats and shared categories.

### When should I choose apm over agency?

Choose apm over agency when Tags unique to apm: ai-agents, claude-code, codex-cli, context-engineering; You focus on AI agent development with specific package needs; More GitHub stars (3.4k vs 489) - visibility, not fit.

### When should I choose agency over apm?

Choose agency over apm when Tags unique to agency: actor-model, agent-framework, autonomous-agents; When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies; Leaner open-issue backlog (19).

### When should I avoid apm?

You prefer generic software or non-AI-specific package managers Requirements include support for languages other than Python

### When should I avoid agency?

If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design.

### Is apm or agency more popular on GitHub?

apm has more GitHub stars (3,385 vs 489). Stars measure visibility, not whether either tool fits your constraints.

### Are apm and agency open source?

Yes - both are open-source projects on GitHub (apm: MIT, agency: MIT).

### Where can I find alternatives to apm or agency?

GraphCanon lists graph-backed alternatives at [apm alternatives](/tools/microsoft-apm/alternatives) and [agency alternatives](/tools/operand-agency/alternatives) ([apm markdown twin](/tools/microsoft-apm/alternatives.md), [agency markdown twin](/tools/operand-agency/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/microsoft-apm-vs-operand-agency.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, apm or agency?

apm: Very active. agency: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for apm and agency?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [apm trust report](/tools/microsoft-apm/trust); [agency trust report](/tools/operand-agency/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-apm`](/api/graphcanon/graph?tool=microsoft-apm)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
