--- title: "catalyst vs caveman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/curiosity-ai-catalyst-vs-juliusbrussee-caveman" tools: ["curiosity-ai-catalyst", "juliusbrussee-caveman"] --- # catalyst vs caveman *GraphCanon updated Sep 20, 2026* ## Verdict Pick catalyst if catalyst provides fast NLP functionalities in C#, including pre-trained models and embedding training capabilities similar to spaCy but with .NET ecosystem integration; pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. [catalyst](https://github.com/curiosity-ai/catalyst) reports 860 GitHub stars, 86 forks, and 51 open issues, last pushed Sep 17, 2026. [caveman](https://docs.caveman.so/docs/quickstart) has 106k stars, 6.2k forks, and 127 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [catalyst's repository](https://github.com/curiosity-ai/catalyst) and [caveman's repository](https://github.com/JuliusBrussee/caveman). | | [catalyst](/tools/curiosity-ai-catalyst.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Tagline | C# NLP library for fast pre-trained models and embeddings training | Reduces token usage by 65% through minimalistic language for coding agents | | Stars | 860 | 106,401 | | Forks | 86 | 6,165 | | Open issues | 51 | 127 | | Language | C# | Go | | Adopt for | Catalyst provides fast NLP functionalities in C#, including pre-trained models and embedding training capabilities similar to spaCy but with .NET ecosystem integration. | Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. | | Persona | - | - | | Runtime | - | - | | License | MIT | Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping. | | Categories | AI Agents, Model Training | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [catalyst](/tools/curiosity-ai-catalyst.md) | [caveman](/tools/juliusbrussee-caveman.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 51 | 127 | | Stars delta | +6 (30d) | +8.0k (30d) | | Open issues delta | +2 (30d) | -358 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/curiosity-ai-catalyst/trust.md) | [trust report](/tools/juliusbrussee-caveman/trust.md) | ## Decision facts: catalyst - **Adopt for:** Catalyst provides fast NLP functionalities in C#, including pre-trained models and embedding training capabilities similar to spaCy but with .NET ecosystem integration. ## Decision facts: caveman - **Pricing:** freemium - The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license. - **Requirements:** Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment. - **Adopt for:** Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. - **License detail:** Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping. ## Choose when ### Choose catalyst if… - catalyst is primarily C#; caveman is Go. - License: catalyst is MIT, caveman is Other. - Tags unique to catalyst: artificial-intelligence, csharp, embeddings, machine-learning. - When your project is primarily in C# or you are deeply embedded within the .NET ecosystem, providing a seamless integration experience. ### Choose caveman if… - caveman is primarily Go; catalyst is C#. - License: caveman is Other, catalyst is MIT. - Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.. - Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.. - Tags unique to caveman: anthropic, caveman, claude, claude-code. - caveman ships Docker support for self-hosted deployment. - When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style. ## When NOT to use catalyst - When your preferred development language is not C#, as Catalyst may require additional setup or effort compared to libraries native in other languages. - If extensive customization of NLP models beyond embeddings training and entity recognition is required, since Catalyst might offer fewer advanced features than more mature tools. ## When NOT to use caveman - If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. - When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use. ## Common questions ### What is the difference between catalyst and caveman? catalyst: C# NLP library for fast pre-trained models and embeddings training. caveman: Reduces token usage by 65% through minimalistic language for coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose catalyst over caveman? Choose catalyst over caveman when catalyst is primarily C#; caveman is Go; License: catalyst is MIT, caveman is Other; Tags unique to catalyst: artificial-intelligence, csharp, embeddings, machine-learning; When your project is primarily in C# or you are deeply embedded within the .NET ecosystem, providing a seamless integration experience. ### When should I choose caveman over catalyst? Choose caveman over catalyst when caveman is primarily Go; catalyst is C#; License: caveman is Other, catalyst is MIT; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; Tags unique to caveman: anthropic, caveman, claude, claude-code; caveman ships Docker support for self-hosted deployment; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style. ### When should I avoid catalyst? When your preferred development language is not C#, as Catalyst may require additional setup or effort compared to libraries native in other languages. If extensive customization of NLP models beyond embeddings training and entity recognition is required, since Catalyst might offer fewer advanced features than more mature tools. ### When should I avoid caveman? If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use. ### Is catalyst or caveman more popular on GitHub? caveman has more GitHub stars (106,401 vs 860). Stars measure visibility, not whether either tool fits your constraints. ### Are catalyst and caveman open source? Yes - both are open-source projects on GitHub (catalyst: MIT, caveman: Other). ### Where can I find alternatives to catalyst or caveman? GraphCanon lists graph-backed alternatives at [catalyst alternatives](/tools/curiosity-ai-catalyst/alternatives) and [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) ([catalyst markdown twin](/tools/curiosity-ai-catalyst/alternatives.md), [caveman markdown twin](/tools/juliusbrussee-caveman/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/curiosity-ai-catalyst-vs-juliusbrussee-caveman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, catalyst or caveman? catalyst: Very active. caveman: 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 catalyst and caveman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [catalyst trust report](/tools/curiosity-ai-catalyst/trust); [caveman trust report](/tools/juliusbrussee-caveman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=curiosity-ai-catalyst`](/api/graphcanon/graph?tool=curiosity-ai-catalyst) - 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/_