--- title: "caveman vs ART" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juliusbrussee-caveman-vs-openpipe-art" tools: ["juliusbrussee-caveman", "openpipe-art"] --- # caveman vs ART *GraphCanon updated Sep 20, 2026* ## Verdict Pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go; pick ART if aRT is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. [caveman](https://docs.caveman.so/docs/quickstart) reports 106k GitHub stars, 6.2k forks, and 127 open issues, last pushed Sep 18, 2026. [ART](https://art.openpipe.ai) has 11k stars, 974 forks, and 127 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [caveman's repository](https://github.com/JuliusBrussee/caveman) and [ART's repository](https://github.com/OpenPipe/ART). | | [caveman](/tools/juliusbrussee-caveman.md) | [ART](/tools/openpipe-art.md) | | --- | --- | --- | | Tagline | Reduces token usage by 65% through minimalistic language for coding agents | Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. | | Stars | 106,401 | 10,603 | | Forks | 6,165 | 974 | | Open issues | 127 | 127 | | Language | Go | Python | | Adopt for | Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go. | ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. | | Persona | - | - | | Runtime | - | - | | License | 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. | Apache-2.0 | | Categories | AI Agents, Model Training | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caveman](/tools/juliusbrussee-caveman.md) | [ART](/tools/openpipe-art.md) | | --- | --- | --- | | Stars delta | +8.0k (30d) | +109 (30d) | | Open issues delta | -358 (30d) | +6 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/juliusbrussee-caveman/trust.md) | [trust report](/tools/openpipe-art/trust.md) | ## 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. ## Decision facts: ART - **Adopt for:** ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. ## Choose when ### Choose caveman if… - caveman is primarily Go; ART is Python. - License: caveman is Other, ART is Apache-2.0. - 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: ai, anthropic, caveman, claude. - 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. ### Choose ART if… - ART is primarily Python; caveman is Go. - License: ART is Apache-2.0, caveman is Other. - Tags unique to ART: agent, agentic-ai, grpo, llms. - - When you need a framework that specifically supports the GRPO method for agent reinforcement learning. ## 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. ## When NOT to use ART - - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp ## Common questions ### What is the difference between caveman and ART? caveman: Reduces token usage by 65% through minimalistic language for coding agents. ART: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caveman over ART? Choose caveman over ART when caveman is primarily Go; ART is Python; License: caveman is Other, ART is Apache-2.0; 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: ai, anthropic, caveman, claude; 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 choose ART over caveman? Choose ART over caveman when ART is primarily Python; caveman is Go; License: ART is Apache-2.0, caveman is Other; Tags unique to ART: agent, agentic-ai, grpo, llms; - When you need a framework that specifically supports the GRPO method for agent reinforcement learning. ### 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. ### When should I avoid ART? - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp ### Is caveman or ART more popular on GitHub? caveman has more GitHub stars (106,401 vs 10,603). Stars measure visibility, not whether either tool fits your constraints. ### Are caveman and ART open source? Yes - both are open-source projects on GitHub (caveman: Other, ART: Apache-2.0). ### Where can I find alternatives to caveman or ART? GraphCanon lists graph-backed alternatives at [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) and [ART alternatives](/tools/openpipe-art/alternatives) ([caveman markdown twin](/tools/juliusbrussee-caveman/alternatives.md), [ART markdown twin](/tools/openpipe-art/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-openpipe-art.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caveman or ART? caveman: Very active. ART: 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 caveman and ART? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caveman trust report](/tools/juliusbrussee-caveman/trust); [ART trust report](/tools/openpipe-art/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/_