--- title: "paseo vs apm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/getpaseo-paseo-vs-microsoft-apm" tools: ["getpaseo-paseo", "microsoft-apm"] --- # paseo vs apm *GraphCanon updated Aug 11, 2026* ## Verdict Pick paseo if paseo runs a local server daemon to manage coding agents through various clients including desktop apps, mobile apps, CLI, and self-hosted web UI; pick apm if agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license. [paseo](https://paseo.sh) reports 13k GitHub stars, 1.4k forks, and 731 open issues, last pushed Aug 10, 2026. [apm](https://microsoft.github.io/apm/) has 3.4k stars, 301 forks, and 164 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [paseo's repository](https://github.com/getpaseo/paseo) and [apm's repository](https://github.com/microsoft/apm). | | [paseo](/tools/getpaseo-paseo.md) | [apm](/tools/microsoft-apm.md) | | --- | --- | --- | | Tagline | Orchestrate multiple coding agents from desktop and mobile | Agent Package Manager | | Stars | 13,232 | 3,385 | | Forks | 1,357 | 301 | | Open issues | 731 | 164 | | Language | TypeScript | Python | | Adopt for | Paseo runs a local server daemon to manage coding agents through various clients including desktop apps, mobile apps, CLI, and self-hosted web UI. | Agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [paseo](/tools/getpaseo-paseo.md) | [apm](/tools/microsoft-apm.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 731 | 164 | | Full report | [trust report](/tools/getpaseo-paseo/trust.md) | [trust report](/tools/microsoft-apm/trust.md) | ## Decision facts: paseo - **Adopt for:** Paseo runs a local server daemon to manage coding agents through various clients including desktop apps, mobile apps, CLI, and self-hosted web UI. ## Decision facts: apm - **Adopt for:** Agent Package Manager is specialized for managing AI agent packages and their dependencies using Python under MIT license. ## Choose when ### Choose paseo if… - paseo is primarily TypeScript; apm is Python. - License: paseo is Other, apm is MIT. - Tags unique to paseo: ade, agents, android, codex. - Also covers Developer Tools. - When you need to orchestrate multiple code generation or modification tasks concurrently across different platforms ### Choose apm if… - apm is primarily Python; paseo is TypeScript. - License: apm is MIT, paseo is Other. - Tags unique to apm: ai-agents, codex-cli, context-engineering, github-copilot. - You focus on AI agent development with specific package needs ## When NOT to use paseo - If your workflow does not involve managing coding agents from desktop, mobile apps, and CLI interfaces - When you prefer cloud-based orchestration without needing to set up a local daemon server ## When NOT to use apm - You prefer generic software or non-AI-specific package managers - Requirements include support for languages other than Python ## Common questions ### What is the difference between paseo and apm? paseo: Orchestrate multiple coding agents from desktop and mobile. apm: Agent Package Manager. See the comparison table for live GitHub stats and shared categories. ### When should I choose paseo over apm? Choose paseo over apm when paseo is primarily TypeScript; apm is Python; License: paseo is Other, apm is MIT; Tags unique to paseo: ade, agents, android, codex; Also covers Developer Tools; When you need to orchestrate multiple code generation or modification tasks concurrently across different platforms. ### When should I choose apm over paseo? Choose apm over paseo when apm is primarily Python; paseo is TypeScript; License: apm is MIT, paseo is Other; Tags unique to apm: ai-agents, codex-cli, context-engineering, github-copilot; You focus on AI agent development with specific package needs. ### When should I avoid paseo? If your workflow does not involve managing coding agents from desktop, mobile apps, and CLI interfaces When you prefer cloud-based orchestration without needing to set up a local daemon server ### When should I avoid apm? You prefer generic software or non-AI-specific package managers Requirements include support for languages other than Python ### Is paseo or apm more popular on GitHub? paseo has more GitHub stars (13,232 vs 3,385). Stars measure visibility, not whether either tool fits your constraints. ### Are paseo and apm open source? Yes - both are open-source projects on GitHub (paseo: Other, apm: MIT). ### Where can I find alternatives to paseo or apm? GraphCanon lists graph-backed alternatives at [paseo alternatives](/tools/getpaseo-paseo/alternatives) and [apm alternatives](/tools/microsoft-apm/alternatives) ([paseo markdown twin](/tools/getpaseo-paseo/alternatives.md), [apm markdown twin](/tools/microsoft-apm/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/getpaseo-paseo-vs-microsoft-apm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, paseo or apm? paseo: Very active. apm: Very active. 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 paseo and apm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [paseo trust report](/tools/getpaseo-paseo/trust); [apm trust report](/tools/microsoft-apm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=getpaseo-paseo`](/api/graphcanon/graph?tool=getpaseo-paseo) - 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/_