--- title: "caveman vs promptmage" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juliusbrussee-caveman-vs-tsterbak-promptmage" tools: ["juliusbrussee-caveman", "tsterbak-promptmage"] --- # caveman vs promptmage *GraphCanon updated Jul 11, 2026* ## Verdict Pick caveman when caveman is primarily JavaScript; promptmage is Python; pick promptmage when promptmage is primarily Python; caveman is JavaScript. [caveman](https://caveman.so/) reports 88k GitHub stars, 5.1k forks, and 392 open issues, last pushed Jul 3, 2026. [promptmage](https://promptmage.io) has 115 stars, 8 forks, and 8 open issues, last pushed Oct 21, 2024. Figures are from public GitHub metadata via [caveman's repository](https://github.com/JuliusBrussee/caveman) and [promptmage's repository](https://github.com/tsterbak/promptmage). | | [caveman](/tools/juliusbrussee-caveman.md) | [promptmage](/tools/tsterbak-promptmage.md) | | --- | --- | --- | | Tagline | Reduce token usage with concise 'caveman'-style prompts. | simplifies the process of creating and managing LLM workflows. | | Stars | 87,950 | 115 | | Forks | 5,052 | 8 | | Open issues | 392 | 8 | | Language | JavaScript | Python | | Adopt for | The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caveman](/tools/juliusbrussee-caveman.md) | [promptmage](/tools/tsterbak-promptmage.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 7d | 628d | | Open issues (now) | 392 | 8 | | Full report | [trust report](/tools/juliusbrussee-caveman/trust.md) | [trust report](/tools/tsterbak-promptmage/trust.md) | ## Decision facts: caveman - **Adopt for:** The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺 ## Choose when ### Choose caveman if… - caveman is primarily JavaScript; promptmage is Python. - Tags unique to caveman: anthropic, caveman, claude-code, tokens. - When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content. ### Choose promptmage if… - promptmage is primarily Python; caveman is JavaScript. - Tags unique to promptmage: llm, nlp-library, nlp-machine-learning, prompt-toolkit. - Leaner open-issue backlog (8). ## When NOT to use caveman - When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. - For situations where adherence to formal or specific linguistic structures is mandatory for the task's success. ## When NOT to use promptmage - Last GitHub push was 628 days ago (dormant maintenance, Oct 21, 2024). Validate activity before betting a new project on promptmage. - 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. ## Common questions ### What is the difference between caveman and promptmage? caveman: Reduce token usage with concise 'caveman'-style prompts.. promptmage: simplifies the process of creating and managing LLM workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caveman over promptmage? Choose caveman over promptmage when caveman is primarily JavaScript; promptmage is Python; Tags unique to caveman: anthropic, caveman, claude-code, tokens; When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content. ### When should I choose promptmage over caveman? Choose promptmage over caveman when promptmage is primarily Python; caveman is JavaScript; Tags unique to promptmage: llm, nlp-library, nlp-machine-learning, prompt-toolkit; Leaner open-issue backlog (8). ### When should I avoid caveman? When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. For situations where adherence to formal or specific linguistic structures is mandatory for the task's success. ### When should I avoid promptmage? Last GitHub push was 628 days ago (dormant maintenance, Oct 21, 2024). Validate activity before betting a new project on promptmage. 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. ### Is caveman or promptmage more popular on GitHub? caveman has more GitHub stars (87,950 vs 115). Stars measure visibility, not whether either tool fits your constraints. ### Are caveman and promptmage open source? Yes - both are open-source projects on GitHub (caveman: MIT, promptmage: MIT). ### Where can I find alternatives to caveman or promptmage? GraphCanon lists graph-backed alternatives at [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) and [promptmage alternatives](/tools/tsterbak-promptmage/alternatives) ([caveman markdown twin](/tools/juliusbrussee-caveman/alternatives.md), [promptmage markdown twin](/tools/tsterbak-promptmage/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/juliusbrussee-caveman-vs-tsterbak-promptmage.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caveman or promptmage? caveman: Active. promptmage: Dormant. 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 caveman and promptmage? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caveman trust report](/tools/juliusbrussee-caveman/trust); [promptmage trust report](/tools/tsterbak-promptmage/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=juliusbrussee-caveman`](/api/graphcanon/graph?tool=juliusbrussee-caveman) - 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/_