--- title: "promptext vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/1broseidon-promptext-vs-moby-moby" tools: ["1broseidon-promptext", "moby-moby"] --- # promptext vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick promptext when license: promptext is MIT, moby is Apache-2.0; pick moby when license: moby is Apache-2.0, promptext is MIT. [promptext](https://chain.sh/promptext) reports 22 GitHub stars, 1 forks, and 0 open issues, last pushed Apr 12, 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 [promptext's repository](https://github.com/1broseidon/promptext) and [moby's repository](https://github.com/moby/moby). | | [promptext](/tools/1broseidon-promptext.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Smart code context extractor for AI assistants | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 22 | 71,899 | | Forks | 1 | 19,126 | | Open issues | 0 | 3,821 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptext](/tools/1broseidon-promptext.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 90d | 1d | | Open issues (now) | 0 | 3.8k | | Owner type | User | Organization | | Security scan | 1 low (1 low) | No criticals | | Full report | [trust report](/tools/1broseidon-promptext/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose promptext if… - License: promptext is MIT, moby is Apache-2.0. - Tags unique to promptext: ai, ai-tools, chatgpt, claude. - Leaner open-issue backlog (0). ### Choose moby if… - License: moby is Apache-2.0, promptext is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ## When NOT to use promptext - Last GitHub push was 90 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on promptext. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use moby - 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between promptext and moby? promptext: Smart code context extractor for AI assistants. 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 promptext over moby? Choose promptext over moby when License: promptext is MIT, moby is Apache-2.0; Tags unique to promptext: ai, ai-tools, chatgpt, claude; Leaner open-issue backlog (0). ### When should I choose moby over promptext? Choose moby over promptext when License: moby is Apache-2.0, promptext is MIT; Tags unique to moby: containers, docker, go, golang; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I avoid promptext? Last GitHub push was 90 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on promptext. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid moby? 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is promptext or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 22). Stars measure visibility, not whether either tool fits your constraints. ### Are promptext and moby open source? Yes - both are open-source projects on GitHub (promptext: MIT, moby: Apache-2.0). ### Where can I find alternatives to promptext or moby? GraphCanon lists graph-backed alternatives at [promptext alternatives](/tools/1broseidon-promptext/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([promptext markdown twin](/tools/1broseidon-promptext/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/1broseidon-promptext-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptext or moby? promptext: 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 promptext and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptext trust report](/tools/1broseidon-promptext/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=1broseidon-promptext`](/api/graphcanon/graph?tool=1broseidon-promptext) - 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/_