--- title: "sagify vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kenza-ai-sagify-vs-moby-moby" tools: ["kenza-ai-sagify", "moby-moby"] --- # sagify vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick sagify when sagify is primarily Python; moby is Go; pick moby when moby is primarily Go; sagify is Python. [sagify](https://kenza-ai.github.io/sagify/) reports 443 GitHub stars, 68 forks, and 18 open issues, last pushed Feb 11, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [sagify's repository](https://github.com/Kenza-AI/sagify) and [moby's repository](https://github.com/moby/moby). | | [sagify](/tools/kenza-ai-sagify.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | LLMs and Machine Learning done easily | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 443 | 71,899 | | Forks | 68 | 19,126 | | Open issues | 18 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | LLM Frameworks, Developer Tools, Inference & Serving | LLM Frameworks, Inference & Serving, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [sagify](/tools/kenza-ai-sagify.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 150d | 1d | | Open issues (now) | 18 | 3.8k | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/kenza-ai-sagify/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose sagify if… - sagify is primarily Python; moby is Go. - License: sagify is MIT, moby is Apache-2.0. - Tags unique to sagify: large language model, large-language-models, generative-ai, ai-gateway. ### Choose moby if… - moby is primarily Go; sagify is Python. - License: moby is Apache-2.0, sagify is MIT. - Tags unique to moby: go, docker, golang, containers. - moby ships Docker support for self-hosted deployment. ## When NOT to use sagify - Last GitHub push was 150 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on sagify. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use moby - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between sagify and moby? sagify: LLMs and Machine Learning done easily. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose sagify over moby? Choose sagify over moby when sagify is primarily Python; moby is Go; License: sagify is MIT, moby is Apache-2.0; Tags unique to sagify: large language model, large-language-models, generative-ai, ai-gateway. ### When should I choose moby over sagify? Choose moby over sagify when moby is primarily Go; sagify is Python; License: moby is Apache-2.0, sagify is MIT; Tags unique to moby: go, docker, golang, containers; moby ships Docker support for self-hosted deployment. ### When should I avoid sagify? Last GitHub push was 150 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on sagify. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid moby? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is sagify or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 443). Stars measure visibility, not whether either tool fits your constraints. ### Are sagify and moby open source? Yes - both are open-source projects on GitHub (sagify: MIT, moby: Apache-2.0). ### Where can I find alternatives to sagify or moby? GraphCanon lists graph-backed alternatives at [sagify alternatives](/tools/kenza-ai-sagify/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([sagify markdown twin](/tools/kenza-ai-sagify/alternatives.md), [moby markdown twin](/tools/moby-moby/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/kenza-ai-sagify-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, sagify or moby? sagify: Slowing. moby: 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 sagify and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [sagify trust report](/tools/kenza-ai-sagify/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kenza-ai-sagify`](/api/graphcanon/graph?tool=kenza-ai-sagify) - 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/_